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The Palace, A Luxury Collection Hotel, Madrid.El Mozo de Almacén es responsable de apoyar las operaciones diarias del almacén del hotel, realizando tareas de recepción, descarga, clasificación, almacenamiento y distribución de mercancías y materiales a los diferentes departamentos.

The Palace, A Luxury Collection Hotel, Madrid.Buscamos un/a pastelero/a para incorporarse a nuestro equipo de cocina, garantizando la calidad, la presentación y la excelencia de nuestros productos de pastelería.Requisitos: Experiencia previa en pastelería, preferiblemente en hoteles o restaurant

Buscamos un/a cocinero/a apasionado/a y creativo/a para unirse a nuestro equipo en el prestigioso Palace Hotel de Madrid. Requisitos: Experiencia previa como cocinero/a en ambiente hotelero.

Minor Hotels Europe & Americas.Contrato temporal para sustituir una baja de maternidad.Serás responsable de la preparación preliminar, el proceso de cocción, el emplatado o la presentación de platos de alta calidad para ofrecer una excelente experiencia a los clientes.Elaboración, conservación

Cushman & Wakefield is seeking a Property Manager (temporal) in Madrid to join a multidisciplinary team managing real estate assets (offices, logistics, and retail) for national and international clients. You will coordinate internal teams, act as main client contact, oversee budgets and reporting, and contribute to the asset's business plans while liaising with other departments. A university degree and a high level of English are required, along with at least 2 years in real estate asset #J-18808-Ljbffr

Energize Group busca un/a Talent & HR Partner para su oficina de Madrid. El puesto es temporal de seis meses para cubrir un permiso por nacimiento, con una división de funciones del 70% en Talent Acquisition y 30% en RR. HH. Es un perfil operativo y con alta autonomía, responsable de gestionar procesos de selección, crear y mantener una cartera de talento y acompañar a los empleados durante su experiencia en la empresa. Además, colaborarás en tareas diarias de RR. HH. #J-18808-Ljbffr

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We are looking for a Senior AI Engineer to join an innovative project focused on building intelligent systems that transform complex engineering documentation into structured knowledge and simulation-ready models. The role involves working with LLMs, Knowledge Graphs, and Computer Vision, combining unstructured data (e.g., P&IDs, technical specifications) with real-time inputs to automate model generation and system understanding. This is you Strong experience with Python Hands-on experience with LLMs and AI frameworks (LangChain, HuggingFace, etc.) Experience with Knowledge Graphs (KG) and Graph Databases (Neo4j) Experience with Vector Databases (Qdrant, Pinecone, Vertex AI) Solid understanding of Machine Learning / Deep Learning, including document understanding Experience with Computer Vision / object detection pipelines Experience building APIs with FastAPI Familiarity with workflow orchestration tools (Temporal, Celery) Experience with Docker, GitHub, and CI/CD pipelines Experience with GCP (Cloud Run) Knowledge of PostgreSQL and Redis This is your role Convert system descriptions (e.g., P&IDs, manufacturer specifications) into structured Knowledge Graphs (KG) Enhance KG generation by integrating real-time system data and additional data sources Build KG-to-Model mapping logic to automatically generate initial 1D simulation models (e.g., Amesim) Design and develop pipelines using LLMs, VLMs, and ML/DL models for document understanding Implement and maintain data processing and AI workflows Develop backend services and APIs using Python (FastAPI) Create demo/admin interfaces using Streamlit or React Ensure system scalability, observability, and performance Collaborate with cross-functional teams including engineers and domain experts What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others. #J-18808-Ljbffr

Overview We are looking for a Machine Learning (ML) Engineer to join our industry-leading data and IP management product team to build the knowledge and intelligence layers of SOS AI, our AI platform serving the intersection between Electronic Design Automation (EDA) and AI/ML workflows. Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Design and build low-latency hybrid retrieval (lexical, vector, graph, faceted) over large, heterogeneous data for on-premises, IP-sensitive deployments. Develop the semantic insight layer: automated tagging, domain-aware metadata, and embeddings as first-class managed assets with version provenance. Build the EDA-aware knowledge graph as organizational memory: entity and relationship inference, ontology evolution, versioning, and temporal queries. Implement agentic memory and outbound MCP servers exposing retrieval, graph traversal, and lineage to external agents with access controls gatekeeping and full audit. Engineer governance so access control propagates from source data through embeddings, graph nodes, retrievals, and agent responses. Benchmark retrieval quality, embedding models, and LLMs against EDA use cases, selecting models per task under cost and latency constraints. Collaborate with product, EDA tool teams and customers to translate semiconductor and RF workflows into requirements. Qualifications MS or PhD in Computer Science, Electrical Engineering, or related field 5+ years building production ML or data-intensive systems. Demonstrated experience building RAG and knowledge graph systems in production (a must): ingestion, indexing, and retrieval pipelines. Hands-on expertise with LLMs: embeddings, fine-tuning, prompt and context engineering, evaluation, and open-weights models for on-prem inference. Strong command of vector databases, graph databases, and low-latency retrieval infrastructure at scale. Experience with agentic memory management and the Model Context Protocol (MCP) or comparable agent-grounding interfaces. Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face, etc..), with solid software engineering and API design practices. ML applied to semiconductor applications, especially the RF and microwave industry, is highly valued. Familiarity with data governance, access control, and provenance in IP-sensitive or regulated environments is a plus. Careers Privacy Statement *Keysight is an Equal Opportunity Employer.* #J-18808-Ljbffr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Automation Engineer (Customer Service) based in Spain. This is an engineering role focused on transforming repetitive Customer Service operations into scalable, reliable automation. You will design and build automated workflows, AI-powered agents, self-service experiences, and integrations with internal systems. Your work will directly reduce manual effort while helping support teams handle growing customer volumes more efficiently. You will work hands-on with ticketing data, APIs, LLMs, workflow automation tools, and cloud infrastructure. The role combines backend engineering with applied AI, giving you the opportunity to solve practical operational challenges at scale. You will also contribute to automation for billing, quota management, customer notifications, and planned infrastructure operations. The environment is fast-moving and international, with substantial ownership and opportunities to work on impactful AI infrastructure projects. Accountabilities Build agents and automation scripts that streamline quota request processing, one of the largest areas of manual engineering work within Customer Service. Develop self-service workflows for billing and data-related requests, including payment method updates, account deletion, marketing opt-outs, and invoice retrieval. Design, build, and maintain LLM-powered agents that help support engineers resolve complex customer tickets more efficiently. Develop and maintain N8N workflows for customer notifications and event-driven operational processes. Integrate automation solutions with REST APIs, including Jira, billing systems, and other internal platforms. Contribute to tooling supporting planned cluster operations, including infrastructure workflows, Terraform configurations, and operational runbooks. Maintain and continuously improve existing automation as customer and ticket volumes increase. Design automation systems with reliability, maintainability, scalability, and operational simplicity in mind. Work closely with Customer Service and engineering stakeholders to identify repetitive processes and convert them into effective automated solutions. Evaluate and adopt appropriate technologies and approaches to improve the efficiency and quality of customer-facing operations. Requirements 3+ years of software engineering experience, preferably with a focus on automation, backend development, integrations, or related areas. Strong Python development skills and the ability to build maintainable production-quality automation. Hands-on experience working with REST APIs and integrating multiple external or internal systems. Practical experience working with LLM APIs, AI agents, or other applied AI technologies. Strong understanding of how to design reliable, maintainable, and scalable automation systems. Ability to investigate operational problems, identify opportunities for automation, and translate requirements into practical technical solutions. Strong problem-solving skills and a proactive approach to identifying improvements. Comfortable collaborating with non-engineering stakeholders and translating operational needs into technical solutions. Working proficiency in English. Experience with N8N, Temporal, or similar workflow automation platforms is a plus. Experience with Jira APIs or other ticketing systems is a plus. Experience with Terraform or cloud infrastructure is a plus. Knowledge of Kubernetes and containerization is a plus. Previous experience in support engineering, customer operations, or an adjacent function is a plus. Benefits Competitive compensation. Career growth and continuous learning opportunities. Flexible working environment with a high degree of ownership. Opportunity to work on practical AI and automation projects with direct operational impact. International environment with highly experienced and technically skilled teams. Fast-moving culture focused on meaningful impact, experimentation, and continuous improvement. Opportunity to contribute to the development of automation systems supporting a growing AI infrastructure platform. Exposure to modern technologies spanning LLMs, APIs, workflow automation, cloud infrastructure, and developer tooling. #J-18808-Ljbffr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Evaluations Team Lead based in Spain. As an Evaluations Team Lead, you will shape how advanced AI models are evaluated, validated, and improved in production environments. You will lead the development of a shared evaluation platform that enables research, engineering, and customer-facing teams to measure model performance with confidence. Your work will establish rigorous standards for benchmarking, statistical validation, data quality, and reproducibility. Combining hands‑on technical leadership with people management, you will build a high‑performing team while remaining closely involved in code, experiments, and methodology. You will assess predictive quality, inference latency, and cost efficiency to guide research priorities and product releases. This is an opportunity to define evaluation practices from the ground up and directly influence the reliability and impact of next‑generation enterprise AI. Accountabilities: Build and maintain a shared evaluation platform that supports research, engineering, and Applied AI teams, enabling independent benchmarking and investigation of model performance. Develop and continuously improve benchmark suites, curated datasets, and model comparisons to assess predictive quality across a broad range of business use cases. Establish rigorous evaluation standards covering statistical metrics, validation strategies, data splits, leakage prevention, calibration, uncertainty estimation, and benchmark contamination. Design reproducible evaluation pipelines with version‑controlled inputs, datasets, and artifacts, integrating automated regression checks into research and release workflows. Benchmark models against competing approaches using fair and consistent protocols for hyperparameter tuning, data access, computational resources, and end‑to‑end latency measurement. Evaluate predictive performance, inference latency, and cost efficiency across deployment configurations, task types, and dataset characteristics. Support customer proof‑of‑concept evaluations by providing reliable tooling, methodological guidance, and data‑driven analysis to help demonstrate model value. Translate evaluation findings into actionable research priorities, release recommendations, and evidence‑based improvement plans for customer use cases. Recruit, lead, and develop a small team of evaluation specialists, setting priorities, providing technical coaching, and delivering constructive performance feedback. Remain hands‑on with Python development, experimental design, statistical analysis, and evaluation methodology while fostering collaboration across research, engineering, and customer‑facing teams. Requirements: Proven experience owning the evaluation of tabular machine learning systems used in production environments or high‑impact customer decision‑making. Strong statistical expertise, including selecting appropriate metrics and validation schemes, estimating uncertainty, comparing models across datasets, and accounting for repeated experimentation. Practical experience identifying and preventing data leakage involving preprocessing, feature engineering, joins, temporal dependencies, and related entities across training and evaluation splits. Strong proficiency in Python and SQL, with familiarity with scikit‑learn, gradient‑boosted decision trees, and the development of reliable ML tools or platforms used by multiple teams. Demonstrated experience designing fair and reproducible model comparisons, including hyperparameter optimization, resource allocation, and end‑to‑end inference latency measurement. Previous people management experience, including hiring, technical mentoring, team development, and performance management, combined with a willingness to remain actively involved in technical work. Excellent written and verbal communication skills, with the ability to collaborate effectively with researchers, software engineers, and customer data scientists. A strong analytical mindset and the confidence to challenge unsupported conclusions, communicate uncertainty, and ensure that technical decisions are grounded in reliable evidence. Experience evaluating tabular foundation models or automated machine learning (AutoML) systems is an advantage. Familiarity with measuring the impact of model optimizations on predictive performance and inference efficiency is desirable. Experience working with relational or multi‑table datasets and data platforms such as Snowflake or Databricks is a plus. Knowledge of automated or agent‑driven machine learning workflows, including identifying failure modes that aggregate metrics may conceal, is beneficial. Benefits: Competitive compensation package combining salary and equity. Comprehensive health coverage for employees and their dependents. Paid parental leave for all new parents, including adoptive and surrogacy journeys. Relocation assistance for employees moving to join the team at one of the company's office locations. Remote working opportunities across eligible locations in Europe and Israel. The opportunity to establish evaluation standards and build a new function from the ground up, with substantial technical ownership and influence. A mission‑driven, collaborative, and low‑ego culture that values diverse perspectives, individual ownership, and proactive decision‑making. The opportunity to work on advanced AI research and help improve the reliability, predictive performance, and efficiency of enterprise AI systems. #J-18808-Ljbffr

Staq is a leading Banking-as-a-Service (BaaS) and embedded finance platform, transforming the way businesses integrate banking and financial services. At Staq, we empower our clients to innovate, expand, and streamline their financial services offerings, leveraging our cutting-edge platform. Our mission is to bridge the gap between traditional banking and the digital era, providing seamless, scalable, and secure financial solutions. The Role We are building the intelligence layer that will power an AI-powered financial assistant and serve as the SDK that other banking applications plug into. The long-term vision is an AI-native bank where every customer interaction, recommendation, and financial operation is orchestrated through this platform. That means the agent runtime, automation engine, recommendation systems, and tool execution framework all need to be built as reusable, production-grade infrastructure — not one-off features for a single product. The objective is to build, harden, and ship the intelligence platform across multiple products simultaneously. You will be building the systems that make AI actually work in finance: agents that reason about money, automations that run reliably on people’s financial data, recommendations that are genuinely useful, and tool execution that is safe and observable. This is systems engineering meets applied AI. Key Responsibilities Agent Runtime & Orchestration Build and maintain production AI agent flows using Python and LangGraph, including multi-step planning, tool selection, and context assembly Author and evolve Agent Cards that define agent capabilities, context requirements, and output contracts for each product domain Implement the agent-side integration with Temporal workflows — the AGENTSTEP and AGENTLOOP activity interfaces that the Java orchestrator calls into Own prompt engineering, template management, and context window optimization across all agent flows Design and implement memory systems that give agents meaningful continuity — conversation history, user financial context, and long-term preference tracking across sessions Design and implement automation flows that go beyond conversational agents — scheduled financial health checks, proactive alerting, background data analysis, and event-driven triggers Build reliable, deterministic automation pipelines that can execute multi-step financial operations with proper error handling, compensation logic, and human-in-the-loop escalation Ensure automations are idempotent, observable, and operate within the platform’s risk gate framework Recommendation Systems Build and iterate on recommendation engines that surface personalized financial insights, product suggestions, and actionable next-best-actions to users Design the data contracts and feature pipelines that feed recommendations, working with domain services for banking, credit, and subscription data Implement evaluation frameworks to measure recommendation quality, relevance, and user engagement Sandboxed Tool Execution Own the integration with sandboxed execution environments (E2B) where agents run tools against real financial APIs and data sources Implement and maintain MCP (Model Context Protocol) tool definitions, ensuring agents can safely invoke financial operations within policy-controlled boundaries Build guardrails around tool execution — input validation, output verification, and safe fallback behavior when tools fail or return unexpected results Reliability & Testing Build comprehensive test harnesses for agent behavior — deterministic scenario tests, regression suites, and evaluation benchmarks Own the reliability engineering of the agent runtime: graceful degradation when LLMs misbehave, proper retry logic, timeout handling, and circuit breakers Support adversarial testing and red-teaming efforts from the AI side Platform & SDK Mindset Everything you build must be reusable. Zeen is the first product, but the intelligence layer is an SDK — other banking applications will build on top of the same agent patterns, tool integrations, and automation frameworks Maintain and evolve the shared contracts (Agent Cards, tool schemas, risk gate interfaces) that allow new products to onboard onto the platform with minimal custom work Think in terms of clean abstractions and extension points, not hard-coded product logic Technical Environment Python (primary), with integration touchpoints to Java microservices LangGraph for agent orchestration; Temporal Cloud (Java SDK) as the durable workflow engine E2B sandboxed containers for tool execution; MCP for tool protocol OpenTelemetry for observability; structured artifact logging Fintech domain: Plaid integrations, banking/credit/subscription data What We Are Looking For Must Have 3+ years building production AI/ML systems (not just notebooks — deployed, monitored, maintained) Strong Python fundamentals and experience with async patterns, error handling, and production-grade code Hands-on experience with LLM application development — prompt engineering, context engineering, tool/function calling, and structured outputs Experience building at least one of: recommendation systems, automation pipelines, or multi-step agent workflows Understanding of evaluation and testing for non-deterministic systems — you know that “it works on my prompt” is not a test strategy Comfort working with financial data where correctness and reliability matter more than speed of iteration Strong Signals Experience with agent frameworks (LangGraph, LangChain, AutoGen, CrewAI) in production, not just prototypes Familiarity with memory systems for AI agents — short-term and long-term memory architectures, retrieval-augmented generation, and context window management strategies Experience with prompt management at scale — versioning, templating, A/B testing, and systematic prompt optimization workflows Familiarity with sandboxed code execution, MCP, or tool-use patterns for LLM agents Background in fintech, financial data, or regulated industries Experience with recommendation engines (collaborative filtering, content-based, hybrid approaches) Familiarity with workflow orchestration systems (Temporal, Airflow, Prefect) and how AI fits into durable execution patterns Experience with LLM observability and performance tracking — call latency profiling, token usage monitoring, cost attribution, and tracing through multi-step agent flows What This Role Is Not This is not a pure ML research position. We are not training foundation models. You will be building application-layer AI systems on top of LLMs and integrating them into a financial services platform that real people depend on for real money. The challenge is in the systems engineering, reliability, and product thinking — not in publishing papers. #J-18808-Ljbffr

MediaMarkt España busca un Income Controlling Specialist para un puesto temporal en el departamento de Controlling.

We are looking for a Senior Graphics Engineer in Ireland, UK, Spain, or Portugal in a hybrid or remote basis. We can support with visa sponsorship from any location. We are looking for strong rendering expertise and a passion for delivering high-quality, high-performance visuals. You will work on real-time rendering features and optimizations that help our game look and run its best across a wide range of devices. We are in the early stages of development on an ambitious, unannounced, cross-platform Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! At Scopely, we care deeply about what we do and want to inspire play, every day — whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily. What You Will Do Develop and optimize real-time rendering features on mobile platforms using Vulkan (Android) and Metal (iOS). Work with clustered/meshlet-based geometry systems, implementing GPU-driven visibility, culling, and LOD. Integrate and refine modern rendering techniques such as clustered/tiled lighting, temporal anti-aliasing (TAA), and super-resolution (TSR). Assist in the development of real-time global illumination features in collaboration with senior technical staff, ensuring scalability across different device tiers. Write and optimize shaders (HLSL/GLSL/MSL) for power-efficient mobile performance. Profile GPU/CPU performance and analyze rendering bottlenecks using tools like RenderDoc, Perfetto, Xcode GPU Debugger, and Mali/Snapdragon profilers. Contribute to GPU memory layout design, draw submission strategies, and render pass optimizations for tile-based GPUs. Collaborate closely with engine and content teams to ensure visuals meet quality and performance goals across platforms. Stay informed on industry rendering trends and suggest improvements to our pipeline. What We Are Looking For 5+ years of graphics programming experience, with a focus on mobile platforms. Strong C++ skills with experience working in performance-critical rendering code. Solid knowledge of Vulkan and/or Metal APIs. Experience with Unity’s Scriptable Render Pipeline (SRP), including extending or customizing SRPs. Understanding of mobile GPU architecture (tiling, bandwidth, power constraints). Proficiency in GPU performance profiling and optimization workflows. Familiarity with compute-based rendering techniques, GPU-driven pipelines, and modern culling/visibility approaches. Bonus Points Experience with UE5’s Nanite/Lumen or equivalent advanced rendering solutions. Background in custom engine development or low-level rendering systems. Contributions to open-source graphics tools or technical publications. Cross-platform rendering experience beyond mobile (PC/console). About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble franchise, “Yahtzee With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates Scopely will never request payment or financial information during the application or hiring process. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law. #J-18808-Ljbffr

Full time on site position offers great opportunities for career growth. About the company Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between. Why this role exists Our growth is not limited by ideas or data — we already run 40K+ members, 750+ verified daily leads, and 50B data points powering AI. It's limited by how fast we can turn ambiguous, high-value problems into shipped AI systems that actually move business metrics. We need a builder who owns the complete production outcome — not a prompt tinkerer, not a researcher, not a PM who delegates the build. Requirements: Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI. What You'll Be Doing: Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. Investigate real production failures and improve the complete system, not just the prompt or the model response. Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. Own architecture, quality, security, and business outcomes — not just the pull request. This is not for you if You want a prompt-only role or a research position focused on training foundation models. You do no-code-only automation and can't own real production code. You call yourself a product manager who delegates the build. You ship unreviewed "vibe coding" and call it done. You need a complete spec before you can start. You optimize for demo quality instead of measurable business impact. What we expect from you (first 3 months) Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production. Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume. Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches. Nice to Have: Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience. Lead generation, marketplaces, real estate, sales technology, or marketing automation background. Ranking, scoring, prediction, experimentation, or data pipeline experience. Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data. MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines. Track record taking a product or automation from zero to one in a fast-moving startup. What We Offer: Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. Compensation: Competitive fixed base salary above the market average. Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. Time Off: 15 paid vacation days plus 5 paid sick days annually. Growth: Unlimited learning policy — paid courses, books, and growth resources. AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. Ownership: Real decision-making power and direct ownership of your outcomes. Location: Remote, 4+ hour overlap with Asia/Dubai #J-18808-Ljbffr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend Engineer, PHP based in Spain. Join a high-scale engineering environment where you’ll build and evolve backend systems powering a global digital gaming marketplace and a growing portfolio of new products. You’ll work within a cross-functional team alongside backend, frontend, mobile, design, and data specialists. The role offers the opportunity to solve complex challenges across distributed systems, performance, reliability, trust, and safety. You’ll contribute to a modern microservices ecosystem spanning more than 100 services. Beyond delivering features, you’ll influence technical decisions, architectural direction, and engineering practices. With strong infrastructure and significant ownership, your work will have a direct impact on products used by millions of customers. Accountabilities Design, build, scale, and maintain reliable backend services using PHP and Symfony within a large microservices architecture. Develop and deliver product features while considering scalability, performance, reliability, and the overall user experience. Contribute to architectural discussions and help shape technical solutions for complex distributed-system challenges. Work with technologies including GraphQL, Golang, Temporal, Saga orchestration, and established service design patterns. Collaborate closely with frontend, mobile, design, data, and platform engineering teams to deliver high-quality products. Help improve engineering practices, code quality, observability, and system resilience across the technology ecosystem. Take ownership of technical problems from investigation through implementation and continuously look for opportunities to improve how the team works. Requirements 8+ years of professional backend engineering experience, including hands-on work building and scaling distributed systems. Strong expertise in PHP and Symfony, with experience working with modern versions of the framework. Solid understanding of microservices architecture and common distributed-system patterns such as CQRS, circuit breaking, and service orchestration. Experience working with databases and data stores such as MongoDB, PostgreSQL, MySQL, Redis, Prometheus, InfluxDB, or Elasticsearch. Familiarity with cloud and infrastructure technologies such as Kubernetes, Helm, AWS, and Terraform. Ability to contribute effectively to architectural discussions and make thoughtful technical decisions. Strong problem-solving skills, a high level of ownership, and a product-minded approach focused on end-user impact. Openness to feedback and a collaborative mindset, with genuine interest in learning, experimentation, and continuous improvement. Ability to work effectively in a fast-moving, cross-functional engineering environment. Benefits €55,000-€72,000 annual compensation, plus bonus opportunities. Opportunity to participate in an employee stock options program. Performance-based, referral, additional paid-leave, and other bonus programs. Personal learning budget to support continued professional development. Paid volunteering opportunities. Flexible choice of work location, including remote work, office work, and the opportunity to work while traveling. Strong opportunities for personal and professional growth supported by structured feedback and promotion processes. Opportunity to contribute to scaling a distinctive technology product used by a large global gaming community. #J-18808-Ljbffr

Are you a Zero Touch Ops Developer seeking a new interesting challenge? If your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for! We are looking for a dynamic, proactive and talented person to join our team and perform the following tasks: Develop and maintain automation solutions using Python and/or PowerShell. Design and implement event-driven workflows and auto-remediation runbooks. Build integrations across IT systems using REST APIs and webhooks. Configure and enhance AIOps and incident management processes in PagerDuty and related platforms. Implement orchestration solutions using tools such as Ansible, Terraform, Temporal or similar technologies. Develop and maintain CI/CD pipelines and automation code repositories following software development best practices. Collaborate with operational and technical teams to transform manual processes into scalable automated solutions. Contribute to reliability engineering initiatives and continuous operational improvement. Python and PowerShell. PagerDuty (AIOps, Event Rules, Workflows, Rundeck Process Automation). LogicMonitor or similar monitoring platforms. REST APIs and Webhooks. Ansible, Terraform, Temporal or equivalent orchestration tools. GitLab CI/CD, GitHub Actions and Jenkins. Git-based development workflows and version control. SRE practices, ITSM and CMDB platforms. Experience: 3-10 years of experience in automation development, AIOps, monitoring and orchestration environments. English: Intermediate level (B2) or higher. English: B2 or higher. Workplace: Hybrid (Madrid) with 40% remote work. Work Schedule: Monday to Friday, 09:00-18:00 (8x5) + on‑call support when required. Permanent contract - We offer indefinite contracts from the first day. Pay and benefits - Competitive salary and a flexible compensation plan adapted to your needs (Ticket restaurant plan, Childcare Ticket, Transport Ticket and Health Insurance). Work from home options - We offer you a financial support every month for your working from home expenses , if your position allows work from home. In addition, in the first month we will give you a bonus to help you to set up your workplace . Opportunity knocks - Being a part of a growing company, we want to support your path with a career development plan and annual performance‑based compensation reviews. Learn as you grow - Starting with a fantastic onboarding program , TCS has robust learning platforms that will allow you to learn and grow personal as professionally. Bring your buddy - If you have referred a friend for an open position under the BYB Scheme and she/he is hired you’ll receive a very attractive cash award. Connect globally - Work with people from all over the world. You can feel the multicultural workforce. Benefit from being a TCSer – By being part of the TCS Spain family you can enjoy benefits, offers and corporate discounts on the best brands. And so on - Appreciations, incentives, Team Building activities, diversity and inclusion programs, sustainability activities, corporative events... This has only just begun! Tata Consultancy Services (TCS) is an Information Technology (IT) company founded in 1968 as part of the Indian Tata Group and is one of the top 3 technology companies globally With a presence in 55 countries and more than 590,000 employees , TCS is considered one of the 10 best companies to work for worldwide in 2026 according to the Top Employers Institute TCS Spain started operations in 2001 and currently has a diverse workforce that collaborates with the main Spanish and multinational companies TCS Spain has been certified as a Top Employer 2026 and has also been chosen as one of the 100 Best Companies to Work for in Spain in 2025 according to Forbes Among the portfolio of services, TCS has information technology services , asset-based solutions , global consulting , engineering and industrial services , digital solutions and services , application maintenance and development , quality assurance and testing services , IT infrastructure and BPS Responsible for development , TCS Spain is committed to inclusion, diversity and sustainability , and promotes flexibility policies that support wellbeing and work‑life balance #J-18808-Ljbffr

Q-Ready, perteneciente al Grupo Quirónsalud, busca médicos/as en Mérida para realizar valoraciones de trabajadores en situación de IT. El objetivo es valorar y gestionar la incapacidad temporal con atención presencial y telefónica. Las funciones incluyen control y seguimiento de IT, gestión de ausencias, historias clínicas y evolutivas, y realización de altas o derivaciones a inspección. Incorporación octubre 2026, jornada de mañanas y posibilidad de alta como autónomo. #J-18808-Ljbffr

La Fundació Salut Empordà, entidad sin ánimo de lucro en Figueres, busca incorporar médicos especialistas en Cirugía Ortopédica y Traumatología con visión integral de la atención sanitaria en la comarca del Alt Empordà. El servicio se apoyará en un equipo multidisciplinar y ofrece contrato temporal de 1 año con posibilidad de indefinido a jornada completa, acorde al convenio SISCAT. Se valora la formación MIR u homologación, experiencia y compromiso con la formación continuada, y la conciliación #J-18808-Ljbffr

Sinch is a Customer Communication Cloud company powering conversations across messaging voice and email helping businesses deliver personalized customer experiences at scale More than 150000 businesses including leading global tech companies rely on Sinch The Role We are building the next generation of conversational AI infrastructure As a Senior Java Software Engineer on the Agentic Orchestration Platform team you will design build and own core components that coordinate AI agents workflow execution and multichannel communication via SMS WhatsApp and voice at scale This is a zero to one opportunity to build a new platform from the ground up You will work on complex problems with high autonomy as part of a small senior team with significant impact You will collaborate with Engineering Manager Tech Lead Product Manager Domain Architect and cross functional teams What You Will Do Design and build core platform components with high ownership and autonomy Drive system design and create technical proposals Work on distributed event driven systems combining deterministic workflows and AI agent behavior Write production grade software including clean maintainable code with tests and documentation Build systems that are observable debuggable and resilient Own full lifecycle including design deployment monitoring and on call responsibilities Follow build ship run approach Develop platform components integrating LLMs and AI agents Work with prompt management context handling function calling guardrails and error recovery Address challenges like testing non deterministic systems fallback strategies latency and cost optimization Contribute to engineering excellence through architecture discussions code reviews and standards definition Mentor team members and share knowledge Collaborate across teams with product and technical stakeholders Provide technical guidance and trade offs and align solutions with business needs What We Are Looking For Five to eight plus years of professional software engineering experience Strong backend and platform skills including distributed systems microservices event driven architectures and cloud native design. Ability to explain architectural trade offs clearly. Strong engineering fundamentals including clean code testing strategies debugging production systems and building reliable long lasting systems Experience with Java Spring AI TypeScript or React Deep expertise in at least two core backend technologies and willingness to learn others quickly Experience using AI coding tools such as Copilot Claude Code Cursor or similar Understanding benefits risks and best practices Ability to work autonomously define scope and deliver solutions independently Strong decision making on prioritization Experience with cloud and operations including AWS Docker Kubernetes CI CD GitOps infrastructure as code and monitoring Strong communication skills with both technical and non technical stakeholders Fluent English required Nice to have Experience with Temporal and Kafka Experience with conversational AI LLMs or agent based systems Experience building platforms from scratch Background in CPaaS or communication platforms The annual salary for this position is between between €60.000 until €80.000 Factors which may affect pay within this range may include skills, education, experience, and other qualifications OUR HIRING PROCESS We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel. We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/. No matter who you are, we hope you find an exciting path forward - hopefully with us! #J-18808-Ljbffr

Starting date: 16/10/2026 Job Reference 44626ESACRE2 Position Research Engineer on atmospheric composition forecasts and reanalyses (RE2) Closing Date Monday, 19 October, 2026 Reference: 44626ESACRE2 Job title: Research Engineer on atmospheric composition forecasts and reanalyses (RE2) About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look At The BSC Experience BSC-CNS YouTube Channel Let's stay connected with BSC Folks! We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team. Context And Mission We are looking for an experienced and enthusiastic research engineer to join the Atmospheric Composition (AC) group within the Earth Sciences department at the BSC-CNS. The AC group is currently composed of about 50 people among researchers, engineers and students of different nationalities. It aims at better understanding and predicting the spatio-temporal variations of atmospheric pollutants along with their effects upon air quality, weather and climate. This is addressed through the continuous development and application of numerical models over multiple scales, from weather to climate and from global to urban scales. The AC group develops and maintains its own forecast model MONARCH, which is a coupled meteorological-chemistry model that can be run at global and regional scales to simulate gaseous chemistry and aerosols plus their feedbacks on radiation. MONARCH is also coupled to a data assimilation scheme for gases and aerosols that is used to initialize forecasts or produce reanalyses of the atmospheric composition. The AC group operates several operational forecasting systems in the framework of the World Meteorological Organization Sand and Dust Storm Advisory System (SDS-WAS, https://dust.aemet.es), the Copernicus atmospheric monitoring services (CAMS, https://atmosphere.copernicus.eu), the Spanish air quality forecasting system CALIOPE (https://caliope.bsc.es), and the International Cooperative for Aerosols Predictions (ICAP). The successful candidate will join the Data Assimilation Forecasting and Application team of the AC group and will play a key coordinating role in the production and continuous improvement of the team's operational forecasting and reanalysis systems. The activities will be carried out mainly in the framework of the Copernicus CAMS240bis international project, with contributions to the CAMS282bis project and to the activities of the Barcelona Dust Regional Center (BDRC). The candidate will work in a highly collaborative environment, with tight links with researchers and engineers in the AC group. The candidate will have the opportunity to follow multiple training activities, including those aimed at improving coding and data analysis, project writing abilities, or project management. All this will be implemented via the formal courses organized by the Education and Training team and Human Resources, and the participation in the regular seminars organized by the department. Key Duties Manage the team's technical activities within CAMS240bis and its contributions to CAMS282bis and the BDRC, including planning, follow-up of tasks and milestones, and reporting. Coordinate the preparation and timely delivery of project deliverables, and represent the team in international project meetings. Coordinate the upgrades of the production systems: define and evaluate target model configurations, organize the e-suite experiments, and ensure successful operational deployments. Coordinate the production of atmospheric composition reanalyses, from planning and set-up to monitoring, validation and dissemination. Oversee the overall quality assurance of the forecast and reanalysis products, including routine evaluation against in-situ and satellite observations. Improve the organization and coordination of the researchers and engineers contributing to developments and production, promoting common workflows, documentation and best practices. Manage the HPC resources related to production, including allocation requests, usage planning and monitoring. Requirements Education A university degree (Master's) in atmospheric sciences, physics, computer science, engineering, mathematics or related disciplines. A PhD in a related field will be valued. Essential Knowledge and Professional Experience At least 2 years of professional experience in operational atmospheric composition forecasting. Demonstrated experience coordinating technical activities and the work of several contributors: planning, tracking tasks and milestones, and delivering to deadline. Experience in international collaborative projects, including preparation, reporting and timely delivery of project deliverables, and representing a team in project meetings. Experience working on HPC systems. Working knowledge of Python and/or Fortran, shell scripting and Unix/Linux environments, and of collaborative code development with version control (e.g. Git). Additional Knowledge and Professional Experience Experience with observational data processing and model evaluation workflows (in-situ and satellite observations). Experience running numerical models (e.g. atmospheric composition, air quality or weather models). Knowledge of quality assurance procedures for operational services (e.g. Copernicus, WMO). Experience managing HPC allocations and computational resources. Experience delivering training, onboarding or mentoring for team members and external users. Competences Strong organizational and coordination skills, with the ability to align several contributors around shared priorities, workflows and documentation practices. Very good interpersonal skills. Excellent written and verbal communication skills, including reporting to and negotiating with international project partners. Ability to take initiative, prioritize and work under set deadlines. Ability to work both independently and within a team. Conditions The position will be located at BSC within the Earth Sciences Department We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona Starting date: 16/10/2026 Development of the recruitment process The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases: Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position. The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process. The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile. At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment@bsc.es. For more information, please follow this link. OTM-R principles for selection processes BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc. BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law. For more information follow this link #J-18808-Ljbffr

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. Staff Engineer Madrid Office - Hybrid: 4 days in the office, 1 day working from home Ebury is seeking exceptional and highly motivated experienced Fullstack Engineers to join our Client Ops team in Málaga or Madrid. This is an opportunity to make a significant impact within a leading FinTech firm. From your first day you'll be an integral part of the team, contributing to missioncritical projects and shipping production code early. We are committed to identifying and nurturing future technical leaders; for those who demonstrate exceptional performance and aptitude, we offer an accelerated path for career progression. Our team is distributed across Europe and works collaboratively across domains. We're shifting from owning every domain's Salesforce workflow toward building reusable, end-to-end services for the company, using Salesforce as a platform rather than the place all logic accumulates. You'll be the engineering backbone of that direction across a broad and evolving portfolio of services: not adding the next Salesforce integration, but building the services that let us stop adding them. One current flagship example is the Client Service, the platform that holds client data and permissions as a source of truth, but the role reaches well beyond any single project. Key Responsibilities Design, build and operate reusable backend services, in Python or TypeScript/Node.js, that hold data and permissions as a source of truth and expose clean APIs other domains across Ebury consume. Our Client Service platform is the current flagship example: upgrading it into a default core service for client data instead of letting that logic accumulate in Salesforce. Lead migrations that retire our reliance on legacy integrations, for example the Salesforce-to-BOS sync, serving data directly from purpose-built services with clear data contracts and source-of-truth boundaries. Move complex domain logic (for example Lending, Underwriting and Trade Finance workflows) out of Salesforce configuration and into purpose-built platforms, cutting the complexity that lives in the CRM today. Design new services with teammates and engineering leaders through the Request For Comments (RFC) process. Take full ownership under the "You build it, you own it" philosophy, covering both development and maintenance. Build production-grade AI: automated chat responses and deterministic workflow triggers, integrating LLMs (Claude / Gemini) so Ops agents handle exceptions, not routine cases. Help stand up durable orchestration (Temporal) that domain teams migrate their processes onto. Build and operate services with standard APIs, monitoring, alerting, observability, idempotency and external-system integration. Collaborate across cross-functional teams, including product managers, designers and other engineers, to deliver robust features and products across the full software development lifecycle. Contribute to technical discussions and architectural design reviews, and uphold engineering best practices through rigorous code reviews, automated testing and CI/CD. Write testable code with good coverage, and ship through CI and Terraform-managed infrastructure. Leverage the latest AI tools to augment your skills and accelerate delivery. We champion their responsible use: you must be able to fully understand and own any code or solution you produce. Communicate clearly in English, written and spoken. Stay current with emerging technologies and practices. Required Qualifications Strong knowledge of algorithms, object-oriented and functional design, and best-practice patterns. Bachelor's or Master's in Computer Science or a related field, or equivalent experience. 5+ years backend software engineering (Senior) / 7+ years with crossdomain architectural impact (Staff), with solid distributed-systems and cloud-native depth. Competency, attitude and ability matter more to us than a precise number of years. Experience working in fintech or within the financial services industry. Backend depth: production backend services covering data modeling, API design, async patterns, idempotency, and failure modes in microservices. This is the core capability we're hiring for. We build new services in both Python and TypeScript/Node.js, and strong depth in either (with willingness to work across both) is what we're looking for. Source-of-truth systems design: you reason clearly about source-of-truth and data-contract boundaries, what a core service owns versus what it merely integrates with, and synchronous vs asynchronous trade-offs and consistency. Platform mindset: you enjoy building reusable services that other teams depend on, and you're motivated by reducing complexity and moving logic out of a CRM rather than adding more into it. AI literacy: experience integrating LLMs into production, or strong readiness to apply RAG, prompt engineering and model evaluation within strict data-access boundaries. Fullstack range: comfortable contributing to React frontends for operational tooling, and you own features end-to-end. Strong communication and influencing skills, including writing and responding to RFCs and building alignment across teams. Nice To Have Hands-on experience with durable orchestration or workflow engines such as Temporal, including state machines and exactly-once execution. Experience integrating LLMs into production (RAG, prompt engineering, model evaluation) within strict data-access boundaries. Familiarity with cloud platforms (AWS, GCP) and containerisation technologies (Docker, Kubernetes). Experience with Domain-Driven Design (DDD) and standardising communication patterns in a service-oriented architecture. Salesforce context, enough to migrate logic off the platform cleanly. You don't need to be a Salesforce developer. Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. What We Offer Competitive salary and benefits package Dis #J-18808-Ljbffr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer (Core & MLOps) based in Spain. This role offers the opportunity to shape foundational infrastructure powering large-scale web data products and distributed engineering teams. You’ll own the architecture of core control and context planes that enable services and AI-driven workflows to operate reliably and efficiently. Working across Kubernetes, Kafka, Java, Python, gRPC, and multi-cloud infrastructure, you’ll tackle complex distributed systems challenges at production scale. You’ll establish engineering standards, reliability practices, and service contracts that influence multiple product squads. The role combines hands‑on architecture with technical leadership, mentoring, and cross‑functional alignment. In a globally distributed, remote‑first environment, you’ll have significant autonomy to solve challenging infrastructure problems and influence long‑term platform strategy. Accountabilities: Architect and evolve the control and context planes, advancing service and schema registries, SLO enforcement, health‑aware routing, automated canary releases, and operational feedback loops. Own the service chassis and golden path, maintaining and improving multi‑language Java and Python client libraries, standardized workload specifications, Helm charts, and deployment pipelines. Define and govern inter‑service contracts, including gRPC and Protocol Buffer definitions, API gateway transcoding, versioning policies, and schema evolution standards. Operate and improve the core platform infrastructure across Kubernetes, Terraform, HAProxy/Nginx, Confluent Kafka, real‑time billing pipelines, Valkey, and database modernization initiatives. Lead architectural strategy through Requests for Discussion (RFDs) covering workflow orchestration, gateway orchestration, multi‑cluster routing, automated failover, and other critical platform initiatives. Establish reliability engineering practices, including SLOs, SLIs, error budgets, fault isolation, and automated weighted canary deployments. Participate in shared infrastructure on‑call rotations, lead incident post‑mortems, and convert operational insights into platform improvements. Mentor engineers across multiple squads, review architectural proposals, and establish engineering practices that make reliable software development more consistent and efficient. Requirements: 10+ years of experience building scalable distributed backend systems, with a strong track record of creating internal platforms or core libraries adopted across engineering organizations. Advanced Java expertise, including reactive frameworks such as Vert.x or Netty, combined with strong Python proficiency. Deep experience with gRPC and Protocol Buffers, including schema evolution and backward compatibility in mission‑critical systems. Hands‑on production experience with Kubernetes at scale, Terraform, and event‑streaming platforms such as Kafka. Experience designing automated telemetry pipelines, materialized views, feature stores, or other feedback systems that use production data to dynamically improve system behavior. Strong reliability engineering background, including SLO/SLI definition, blast‑radius analysis, fault tolerance, and rigorous service contracts. Exceptional technical writing skills and the ability to communicate complex architectural concepts clearly while driving alignment across teams. Strong written and interpersonal communication skills suited to a globally distributed, remote‑first environment. A curious, continuous‑learning mindset with an interest in evaluating new technologies, architectures, and engineering approaches. Experience with Temporal, DBOS, or similar durable execution platforms is a plus. MLOps experience, including model serving, performance monitoring, or production drift detection, is advantageous. Familiarity with zero‑trust networking and service meshes such as SPIRE, mTLS, Cilium, Istio, or Envoy is beneficial. Experience building developer tooling such as CLIs, SDKs, or project generators is a plus. Experience with large‑scale web scraping or crawling, or contributions to distributed‑systems and data‑extraction open‑source projects, is advantageous. Benefits: Fully remote, remote‑first working environment with flexible working hours. Freedom and flexibility to work from the location where you are most productive. Opportunity to work on core infrastructure supporting large‑scale web data pipelines and distributed systems. Exposure to cutting‑edge open‑source technologies, tools, and evolving AI and web data infrastructure. Opportunities to attend conferences and connect with colleagues across the globe. Collaboration with a diverse, multicultural, and globally distributed engineering community. High level of autonomy and organizational trust. Opportunities to influence platform architecture, engineering standards, and technical strategy across multiple teams. Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #J-18808-Ljbffr

Teladoc Health International, la marca líder mundial en atención sanitaria virtual, busca médicos para cubrir la temporada de gripe con contrato temporal y posibilidad de indefinido posteriormente. La labor se realiza de forma remota mediante teleconsulta, teléfono o chat, con valoración de gravedad y activación de recursos médicos según protocolos establecidos por Teladoc Health International. #J-18808-Ljbffr

AXXON selecciona PROJECT MANAGER DIRECTOR (H/D) per a empresa dedicada al disseny i fabricació de maquinària i/o plantes de reciclatge i tractament de residus, ubicada a rodalia de Girona. En dependència de Direcció General, serà el màxim responsable de gestionar l'equip de projectes de cada pais, amb l'objecitiu de garantir l'execució dels projectes segons cost, qualitat i plaços acordats, tant en el procés de disseny i fabricació com en la instal.lació a casa el client. FUNCIONS I RESPONSABILITATS Monitoritzar i supervisar el progrés dels projectes, objectius i costos d'acord amb els pressupostos i els terminis de temps establerts. Portar el control dels pressupostos per projecte, amb els departaments de Vendes, Finances i Comptabilitat per consensuar estratègies i així poder assolir tots els objectius econòmics de l'empresa. Establir i cuidar les relacions laborals amb empleats i tercers Resoldre conflictes de forma àgil i eficient per assegurar el bon funcionament de l'organització. Coordinar els Project Manager, enginyeria muntatge i Posada en Marxa per assolir èxit en els projectes. Buscar nous partners, proveïdors de serveis de muntatge, a nivell nacional i internacional. Contribuir a la millora del sistema de gestió de la qualitat, medi ambient i prevenció de riscos laborals. EXPERIÈNCIA de 10 anys en posició similar dins el sector metal-lúrigc, vinculada a la gestió de projectes internacionals, gestió d'equips, poasades en marxa a casa client, entre altres. S'OFEREIX Contracte indefinit. Jornada complerta (Dill a Dij 8h a 17h i Div 8h-15h). Retribució negociable segons experiència professional. Pla de retribució flexible i altres beneficis (assegurança mèdica). Formació i desenvolupament professional en entorn de la gestió de projectes industrials. Incorporació immediata. Axxon és una empresa de treball temporal i selecció de personal que treballa per connectar els candidats/es i empreses que veritablement encaixen. Generem connexions que acaben en relacions laborals valuoses per tal que tant tu com l'empresa seguiu creixent. REQUISITS Enginyeria mecànica, elèctrònica o similar. Valorable Master en Administració i Direcció d'empreses. Experiència de 10 anys en posició similar dins el sector metal-lúrigc, vinculada a la gestió de projectes internacionals, gestió d'equips, poasades en marxa a casa client, entre altres. Coneixements dels sitemes de gestió ISO 9001, 14001 i ISO 45001. Coneixements de processos industrials i Lean Management. Català/ Castellà natiu. Nivell anglès Advanced- C1. Valorable Francès (B1) Imprescindible disponibilitat per viatjar amb flexibilitat. COMPETÈNCIES Lideratge. Resolució de problemes. Negociació i gestió de conflictes. Organització i planificació. #J-18808-Ljbffr

Highlander busca incorporar un/a Jefe/a de Estudios para un importante proyecto dentro del sector de la construcción, obra civil e infraestructuras. La persona seleccionada será responsable de analizar y preparar las ofertas económicas de proyectos antes de su ejecución, trabajando de forma coordinada con los equipos comercial, técnico y de producción. • Analizar la documentación de licitaciones: pliegos, proyectos, planos y requisitos técnicos., • Realizar mediciones y presupuestos detallados de los proyectos., • Estudiar los costes asociados a cada proyecto y elaborar ofertas competitivas., • Solicitar, analizar y comparar ofertas de proveedores y subcontratistas., • Definir la planificación temporal y los recursos necesarios para la ejecución de los proyectos: personal, maquinaria y materiales., • Colaborar con los equipos comercial y técnico en la preparación de propuestas para clientes., • Realizar el traspaso de la información y documentación al equipo de Producción/Jefatura de Obra una vez adjudicado el proyecto., • Participar en el análisis de proyectos de obra civil e infraestructuras, incluyendo proyectos de fibra óptica, redes troncales, FTTH y proyectos EPC llave en mano., • Titulación en Ingeniería Civil, Ingeniería Industrial, Ingeniería de Telecomunicaciones, Arquitectura Técnica o equivalente., • Experiencia de 3 a 5 años en departamentos de estudios y/o licitaciones dentro de construcción, obra civil o telecomunicaciones., • Experiencia en procesos de licitación pública y/o privada., • Manejo de programas de mediciones y presupuestos, especialmente Presto, Arquímedes o similares., • Capacidad de análisis numérico, organización y atención al detalle., • Conocimientos de normativa técnica relacionada con obra civil y telecomunicaciones., • Capacidad de negociación y gestión de ofertas con proveedores y subcontratistas., • Disponibilidad para realizar desplazamientos puntuales a obra., • Experiencia en proyectos de fibra óptica e infraestructuras de telecomunicaciones., • Experiencia en proyectos de infraestructuras energéticas., • Experiencia previa en entornos de proyectos EPC., • Contrato indefinido., • Salario competitivo, • Incorporación a un proyecto estable dentro de una compañía vinculada al sector de la construcción e infraestructuras., • Participación en proyectos de obra civil y telecomunicaciones., • Desarrollo profesional dentro del área de estudios y licitaciones. Si tienes experiencia en estudios de obra, elaboración de presupuestos y licitaciones y buscas un nuevo reto profesional, ¡queremos conocerte! #J-18808-Ljbffr

En Sener deseamos incorporar en nuestro equipo un Ingeniero/a de Supply Chain en nuestro centro de trabajo de Zamudio. Somos una compañía de ingeniería pionera en el diseño de tecnología satelital y equipos para la exploración espacial. En Defensa abordamos el diseño y producción de equipos y sistemas, incluidos los no tripulados. Nuestra pasión por la precisión nos ha llevado a situarnos como colaboradores de confianza de las principales agencias espaciales, organismos gubernamentales y empresas. La persona que se incorpore realizará las actividades y tareas asignadas de Supply Chain (Compras, Inspecciones, Gestión de Subcontratos …), proponiendo soluciones y enfoques técnicos así como estimando esfuerzos, recursos y riesgos. Todo ello en coordinación con los miembros del equipo de trabajo, con el fin de garantizar una exitosa entrega de los productos de SENER. También participarás en el proceso de identificación de mejoras en los procesos de producción e industrialización. Qué harás: Desarrollar tareas de Supply Chain, en áreas de Compras, Inspección y Gestión de Subcontratos, que le sean asignadas en coordinación con los demás miembros de su equipo o responsables. Realizar asistencias técnicas propias de su Área a demanda de otras áreas en proyectos, consultas o procesos de mejora. Recopilar y registrar la información necesaria para el control de avance técnico, temporal y económico de los trabajos propios de un proyecto o proceso y transmitirla al responsable y al equipo del proyecto para facilitar decisiones. Ordenar y supervisar la documentación precisa de cada fase del proyecto encomendada y transmitirla al responsable/equipo del proyecto y asegurar su disponibilidad entre el resto del equipo. Anticipar desviaciones a la planificación (y/o de los costes) y proponer acciones de contingencia para minimizar su impacto (en coste, plazo o calidad) o recuperar las mismas de manera efectiva y en costes. Analizar la causalidad de las desviaciones producidas en relación a la planificación prevista y reportar los impactos de las mismas. Participar en comités técnicos de su disciplina a fin de mejorar, por un lado, su autonomía y capacidades, y, por otro, asegurar la difusión y aprehensión del conocimiento. Elaborar nuevas especificaciones técnicas, estándares, procedimientos, formatos y herramientas de su disciplina y mantenerlos actualizadas y disponibles para el resto de integrantes del área y/o División. Asegurar la aplicación de la metodología de gestión de procesos de Supply Chain a lo largo del ciclo de vida de los proyectos y/o productos en los que participa. Impulsar la interlocución técnica con los suministradores de los equipos y materiales relacionados que afectan al proyecto Qué esperamos de ti: Grado en ingeniería. Al menos 5 años de experiencia realizando las funciones descritas en sector industrial. Experiencia con el manejo de procesos de compra, negociación de cláusulas de contrato, negociación de precios... Conocimiento y manejo de sistemas ERP, producción, planificación y compras. Inglés nivel alto. Qué te ofrecemos: Estos son algunos de los beneficios de los que disfrutarás en Sener: Tendrás la oportunidad de participar en proyectos innovadores y de alto nivel tecnológico a nivel internacional, colaborando con un equipo multidisciplinar y altamente cualificado. Disfrutaras de una mejor gestión de tu tiempo a través de nuestras políticas de flexibilidad horaria y trabajo en remoto. Podrás optimizar tu salario con nuestro plan retributivo flexible (tarjeta de comida, seguro médico privado, tickets guardería...) y dispondrás de un seguro de vida y accidentes. Te cuidaremos con nuestro programa de bienestar físico y emocional, que incluye deportes, talleres, etc. Impulsaremos tu desarrollo profesional, con formación técnica, en habilidades, idiomas, etc. para que continúes creciendo y alcanzando tus metas. Promovemos la igualdad de oportunidades, diversidad e inclusión de todas las personas y estamos certificados como Entidad Familialmente Responsable (efr). Si te sientes identificado/a con nuestros valores y quieres formar parte de una ingeniería familiar internacional puntera, ¡te esperamos! Queremos llegar tan lejos como quieras llegar tú. #J-18808-Ljbffr

Is this you? Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you! At TitanOS, we live by three core values: Make things happen – We take ownership, move fast, and deliver impact. No ego – We collaborate with respect and humility to reach shared goals. Show genuine passion – We love what we do and never stop learning. Culture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team! Role overview: We are looking for a Senior Data Scientist to lead the development of predictive audience models for Titan OS, turning smaller seed and observed datasets into robust predictions of much larger customer populations for Connected TV advertising. This is a deeply technical role focused on statistics, sampling theory and machine learning, with a strong emphasis on representativeness, selection bias, population extrapolation and uncertainty. You will combine Titan OS first-party data with seed audiences and population-level datasets, owning the methodology from research and experimentation through validation, productionisation and model monitoring. Working closely with Data Engineering, Product, Commercial and Advertising teams, you’ll be a senior technical voice responsible for challenging assumptions, communicating uncertainty and setting rigorous modelling standards with direct commercial impact. Key responsibilities: Build models that expand seed and sample audiences into high-value cohorts across the wider CTV population. Apply weighting, calibration, MRP and hierarchical methods to extrapolate reliably from imperfect or non-representative samples. Build propensity, classification, similarity, ranking and positive-unlabelled models to identify users with high affinity to a seed audience. Create robust behavioural and contextual features from large-scale event data while preventing target leakage and instability. Diagnose selection bias, coverage gaps and covariate shift, and communicate uncertainty in audience estimates. Measure lift, precision/recall, calibration and stability using holdouts, temporal/geographic tests and observed campaign outcomes. Move successful models into scalable pipelines with versioning, drift detection, monitoring and retraining. Partner with Product, Commercial and Engineering teams while setting rigorous modelling standards across the Data team. What makes you a great fit: 8+ years of professional experience in Data Science, Applied Statistics, Quantitative Research, Econometrics or a closely related field. Deep statistical expertise in sampling theory, estimation, inference, probability, uncertainty quantification and experimental design. Strong sample-to-population experience using techniques such as post-stratification, raking, calibration/propensity weighting, hierarchical models, or MRP. Hands‑on ML lookalike experience using seed audiences, CRM/customer samples or known converters with propensity, classification, similarity/ranking or positive‑unlabelled methods. Advanced ML & feature engineering skills across GLMs, XGBoost/LightGBM, ensembles, embeddings and large-scale behavioural datasets. Strong model validation skills including lift/gains, precision@K/recall@K, probability calibration, A/B testing, stability and drift monitoring. Advanced Python & SQL skills with scikit-learn, pandas/NumPy and experience with large‑scale cloud data platforms and production ML/MLOps are highly desirable. Strong communication and quantitative foundations with a BS/MS in a relevant quantitative field; a PhD is advantageous but not required. Reasons to apply: Competitive compensation Private health insurance Friendly, diverse, and international work environment Opportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industry. Change the future of TV! A unique opportunity to join a well‑funded, high‑growth company in the early stages to help shape a product/business that will impact millions. #J-18808-Ljbffr

Who We Are VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore. VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. For more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML. Este es el reto: Buscamos un/a Senior CRM Project Manager para liderar la gestión diaria de proyectos de CRM y asegurar una coordinación fluida entre el cliente, el equipo de Data , el Contact Center y los equipos internos, además de asegurar un correcto control y seguimiento presupuestario. Será una figura clave en la organización del trabajo, el seguimiento de prioridades y la entrega de proyectos, con una alta exposición al cliente y trabajando junto a un equipo multidisciplinar de CRM, datos y operaciones. Responsabilidades Gestionar proyectos CRM de principio a fin: briefing, planificación, ejecución, seguimiento y cierre. Actuar como interlocutor/a principal con el cliente, organizando reuniones, prioridades, entregables, aprobaciones y próximos pasos. Coordinar el trabajo entre cliente, Contact Center , equipo de Data y equipos internos de CRM, facilitando la toma de decisiones a los equipos. Supervisión y coordinación de equipo de cuentas. Traducir las necesidades de negocio en requerimientos, planes de trabajo y tareas accionables. Gestionar calendarios, recursos, dependencias, riesgos y posibles incidencias. Asegurar la calidad y entrega en plazo de los proyectos. Preparar presentaciones, status reports y documentación de seguimiento. Identificar oportunidades de mejora de conversiones, procesos, campañas y experiencia de cliente. Trabajar de forma integrada con un equipo de proyecto, contribuyendo a la organización y priorización del día a día. Participar en reuniones con equipos internacionales, por lo que será necesario utilizar el inglés con soltura. Control y seguimiento presupuestario, con coordinación diaria con los equipos de finanzas. Requisitos 5-8 años de experiencia en gestión de proyectos CRM, Customer Experience, marketing relacional o marketing digital. Experiencia en agencia, consultoría o entornos de cliente multinacional. Experiencia coordinando proyectos con Contact Center y equipos de Data . Clara orientación analítica a performance y resultados. Sólido control de Excel. Sólida experiencia en gestión y relación directa con cliente. Capacidad para organizar equipos, prioridades, procesos y entregables. Nivel alto de inglés, tanto escrito como hablado. Conocimiento de procesos CRM: segmentación, campañas, bases de datos, customer journeys y reporting. Experiencia con Salesforce Marketing Cloud o Service Cloud u otras plataformas CRM será valorable. Experiencia con seguimiento y visualización de dashboard: PowerBI, Tableu, entre otros. Se valorará especialmente Experiencia en proyectos del sector automoción. Experiencia trabajando con equipos internacionales o regionales. Conocimiento de procesos de atención al cliente y operaciones de Contact Center. Capacidad para interpretar necesidades de negocio y coordinar soluciones con Data y CRM. Perfil hands‑on, organizado, proactivo y orientado a resultados. Te ofrecemos · Jornada completa con modelo de trabajo híbrido. · Posición temporal para cobertura de baja por maternidad de aproximadamente 8 meses . · Periodo de traspaso con la persona que actualmente lidera la cuenta. Beneficios de trabajar en VML Flexibilidad horaria 22 días de vacaciones al año Modelo híbrido o presencial. Plan de carrera personalizado y formación continua No tenemos dress code. Ven como quieras a trabajar. Descuentos exclusivos de WPP. Acceso a Cobee Iniciativas de apoyo a la maternidad y políticas de igualdad y diversidad ¿Te vienes? #LI-EMEA We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. #J-18808-Ljbffr

Johnson & Johnson busca un Clinical Sales Specialist Madrid - Joints / Mitek para contrato temporal. Proporcionarás soporte clínico y técnico al equipo comercial y a profesionales sanitarios durante intervenciones de traumatología. Se valorará experiencia en quirófanos y en dispositivos médicos, con dominio del español e inglés. Ofrecemos un entorno dinámico y la oportunidad de desarrollar tu carrera en una compañía líder en MedTech. #J-18808-Ljbffr

Plenergy te busca para incorporarte como Area Manager con residencia en La Rioja, gestionando la zona norte de España y liderando un equipo en 20-25 estaciones de servicio. La misión es garantizar excelencia operativa, mantenimiento y estándares de calidad, supervisando incidencias y mejoras. Se requieren 4 años de experiencia en área manager retail, grado universitario y coche propio; desplazamientos frecuentes (70–80%). Puesto 100% presencial, oferta temporal y paquete retributivo atractivo. #J-18808-Ljbffr

Enginy is a Barcelona-based startup on a mission to revolutionize how B2B sales and prospecting teams operate. Our cutting‑edge AI‑driven lead generation technology empowers sales teams to focus on what truly matters: selling. By automating manual prospecting, we help optimize workflows, ensuring a predictable and scalable sales pipeline—no wasted time, just results. After successfully raising €5 million in a landmark seed funding round, we are looking to grow our teams and scale in key markets. We’re growing fast and looking for a Software Engineer to join us at Enginy AI. You’ll play a key role in building the systems and user experiences that power our sales‑automation platform, from high‑throughput backend workflows to performant, feature‑rich web applications. What You’ll Do Depending on your background and strengths, you will take ownership across one or more of the following areas: Build and maintain scalable, reliable services powering our core engine. Work with async architectures, data pipelines, and workflow orchestration (Temporal). Design and implement production‑grade APIs and integrations with external platforms (CRMs, LinkedIn, and more). Optimize performance, debug complex issues, and ensure strong observability. Frontend Develop high‑quality, responsive web applications using React + TypeScript. Own customer‑facing dashboards, campaign builders, reporting UIs, and supporting API layers. Work on internal tools, SSR/edge rendering, and lightweight Node.js services. Focus on performance, Core Web Vitals, and developer experience. Cross‑functional Collaborate closely with Product, Design, and Engineering teams. Ship end‑to‑end functionality with a clear focus on quality, reliability, and speed. Help shape engineering practices, code quality, and architecture as we scale. What We’re Looking For (Must‑Have) 5+ years of professional software engineering experience (Backend, Frontend, or Full‑Stack). Strong experience with TypeScript and either Node.js or React. Solid understanding of modern API design, async workflows, or web architectures. Experience working with relational databases (PostgreSQL or similar). Ability to work autonomously, debug complex issues, and ship high‑quality code. Strong communication skills and an advanced level of English. Desire to work in a fast‑moving startup environment. Nice-to-Have Experience in early‑stage or fast‑scaling startups. Familiarity with workflow engines (e.g., Temporal), distributed systems, or microservices. Knowledge of UI performance optimization, design systems, or a11y testing. Experience with Redis, Elasticsearch, Kafka, or third‑party API integrations. CI/CD practice with GitHub Actions. Interest in B2B SaaS, sales tech, or automation tools. Basic exposure to full‑stack work, even if your focus is mainly Backend or Frontend. We’ve designed our hiring process to be close to real engineering work. We try to avoid trivia‑heavy interviews and artificial take‑home exercises, and instead focus on how you think through product problems, technical trade‑offs, ambiguity, quality, and the use of AI as part of modern engineering. A first conversation to understand your background, goals, and what kind of environment helps you do your best work. A short practical task based on a small version of our product, where we care about prioritization, scope, reasoning, and delivery within constraints. You’re welcome to use AI tools, as you would on the job. A technical/product conversation focused on realistic engineering problems, not stack trivia. A final conversation to align on team fit, expectations, and next steps. We aim to keep the process practical, transparent, and respectful of your time. If you reach the technical task stage, we’ll review your work carefully and give thoughtful feedback. What We Offer Competitive salary tailored to your experience. Enticing performance bonuses that you won’t see anywhere else. Flexible remuneration through Cobee. Short Fridays all year round and extra days of vacation for your birthday and Geneversary. Yearly Work From Home allowance (24 days for Customer Facing functions / 48 days for Product & Engineering and Admin). Full Work From Anywhere weeks during August & End of the year. A discount on a premium gym (with spa access) just a step away. Free fresh fruit to help you care for your health. Free coffee to keep you energized. Continuous learning, including but not limited to mentoring, coaching, workshops, and opportunities to attend SaaS conferences. Career growth opportunities, as we won’t let your dedication and results go unnoticed. Team gatherings and celebrations, because we love to build connections and celebrate achievements together. A collaborative culture because we foster hard work, teamwork, transparency, and respect, encouraging open communication and a positive environment where your voice matters. Ready to shape the future of B2B sales with us? Let’s build something great together! #J-18808-Ljbffr

Lazkao, Gipuzkoa) – Sanitas Tipo de contrato: Temporal (Sustitución de 4 a 6 meses). Beneficios: Seguro médico Sanitas, Programa de Bienestar, Wellhub, formación continua, programa de descuentos. En Sanitas te esperamos con los brazos abiertos.

Key Responsibilities As a Platform Engineer within Advanced Analytics (DA3) in the Chief Data & AI Office area at Allianz Partners, you will join our central AI team to build and operate the cloud infrastructure that powers AI-enabled solutions at global scale. We are looking for an engineer with deep Kubernetes and cloud expertise to implement, automate, and maintain the platform foundations that enable teams to deploy and operate AI services reliably. You will work in a cross-functional environment with Backend Engineers, ML Engineers, AI Architects, and Platform Architects, taking hands‑on ownership of the infrastructure layer, from Kubernetes clusters and CI/CD pipelines to observability systems and security controls. In this role, you will translate platform architecture into working infrastructure, reduce operational toil through automation, and ensure production systems meet reliability and security standards. Through this role, you will have the main following responsibilities: Implement and operate Kubernetes infrastructure (AKS): cluster lifecycle, networking, resource management, auto‑scaling, and multi‑tenancy patterns. Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD for automated testing, container builds, and GitOps deployments. Develop Infrastructure as Code (Terraform, Bicep) to provision and manage Azure resources with consistency and auditability. Operate container registries (ACR), artifact management, and image security scanning workflows. Implement and maintain observability infrastructure: Azure Monitor, Application Insights, Prometheus, Grafana—including dashboards, alerting, and distributed tracing. Manage async processing infrastructure: Celery workers, Redis queues, and workflow orchestration patterns supporting AI agent execution. Implement platform security controls: network policies, pod security standards, Key Vault integration, RBAC, and private endpoint configurations. Support database infrastructure: PostgreSQL management, backup/recovery, connection pooling, and performance tuning. Create self‑service tooling and templates that enable development teams to deploy and operate services with minimal friction. Diagnose and resolve infrastructure issues across clusters, pipelines, and cloud services; perform root‑cause analysis and implement preventative improvements. Collaborate with Platform Architects, Backend Engineers, and ML Engineers to translate architecture designs into reliable infrastructure. What You Bring 5+ years professional experience in platform engineering, SRE, or DevOps roles; experience supporting AI/ML workloads is a strong plus. Strong Kubernetes experience: cluster operations, networking (Ingress, network policies), storage, autoscaling, and troubleshooting. Solid Infrastructure as Code experience with Terraform, Bicep, or equivalent tools. Production experience with Azure cloud services: AKS, ACR, Key Vault, Azure Monitor, Virtual Networks, Private Endpoints, and Azure Policy. Strong CI/CD experience: GitHub Actions (self‑hosted runners, reusable workflows), ArgoCD, or similar GitOps tooling. Proficiency in Python for automation, scripting, and tooling. Experience with container security: image scanning, runtime security, network policies, and least‑privilege patterns. Experience with observability stack: Prometheus, Grafana, centralized logging, and alerting configuration. Familiarity with async task processing: Celery, Redis, or equivalent message queue patterns. Strong Linux systems administration and networking fundamentals. Operational mindset with strong troubleshooting skills across infrastructure layers. Ways of Working Comfortable in agile, iterative delivery environments with ownership and accountability. Clear communicator and collaborator across global, cross‑functional stakeholders. Strong focus on reliability and automation: you measure success by system uptime and reduced manual toil. Proactive learner with pragmatic adoption of AI‑assisted developer tools (GitHub Copilot, Claude Code) to improve automation and delivery. Nice to Have Experience supporting AI/ML infrastructure: GPU scheduling, model serving platforms, or ML pipeline orchestration. Service mesh experience (Istio, Linkerd) for traffic management and security. Experience with Databricks or similar data platform infrastructure. Familiarity with workflow orchestration (Temporal, Airflow) for complex AI pipelines. Experience with cost optimization: FinOps practices, resource right‑sizing, and reserved capacity planning. Experience in regulated environments where auditability and secure‑by‑default infrastructure are essential. Certifications: CKA/CKAD, Azure Administrator, or Terraform Associate. What We Offer Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey. We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is a key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work‑life balance. 90206 | Data & AI | Professional | Allianz Partners | Full‑Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board. Let's care for tomorrow. Note: Diversity of minds is an integral part of Allianz’ company culture. One means to achieve diverse teams is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company encourages its employees to have motivation in gaining varied skills from different positions and to collect experiences from across Allianz Group. #J-18808-Ljbffr

Scopely is looking for a Senior Security Compliance Engineer to join our Information Security team in Barcelona on a hybrid basis working 2 days a week from the hub. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this. What You Will Do In this role, you will help design, build, and scale privacy-aware and compliance systems across a global technology organization. You will combine technical execution with a strong understanding of privacy and regulatory requirements to build practical, reliable solutions that support both the business and our players. You will work closely with cross-functional partners across Security, Legal, Engineering, Product, and Player Experience to embed privacy by design into systems, services, and workflows. This is an exciting opportunity for someone who enjoys solving complex problems, building automation, and turning privacy requirements into scalable engineering solutions. Embed privacy by design into product, platform, and operational workflows Design, build, and improve privacy engineering capabilities that support data subject rights requests, data lifecycle management, and regulatory compliance Translate legal and regulatory requirements into technical requirements, engineering patterns, and actionable implementation guidance Build and maintain tools, services, and automations in Python to support privacy and compliance operations Support workflow orchestration and automation using Temporal or similar platforms Work in AWS and similar environments to operate secure, scalable, and reliable privacy-related systems and integrations Write and deploy SQL to archive or purge data, and to locate, review, and document data for privacy requirements Partner with engineers and architects to implement data solutions that enable the business while protecting sensitive data Conduct privacy assessments, identify risks, and help drive mitigation efforts through tools, training, and guidance Review new systems, features, and data flows for privacy impact, and partner with teams to design technical controls that reduce privacy risk Partner with product and engineering teams to design privacy-preserving solutions, including controls for data minimization, retention, deletion, and access Manage projects and enhancements from requirements gathering through delivery and stakeholder communication Improve documentation, reporting, evidence collection, and operational processes that support broader compliance efforts Identify opportunities to reduce manual work, improve data quality, and strengthen consistency through automation What We’re Looking For 5+ years of experience in information security, privacy, compliance, or a related technical role Hands‑on experience building or maintaining solutions in Python Strong background in software engineering, backend systems, security, data engineering, or data architecture Experience with AWS and cloud-based architectures Experience with Temporal or similar workflow orchestration tools Working knowledge of APIs, JSON, SQL, and related technical tooling Strong understanding of privacy engineering principles, privacy by design, and technical implementation of data subject rights and data lifecycle controls Working knowledge of privacy regulations such as GDPR Familiarity with security and compliance frameworks such as ISO 27001, NIST, or COBIT. Experience working cross-functionally with Legal, Security, Product, and Engineering teams Strong communication skills, including the ability to explain technical concepts to non‑technical audiences Strong organisational skills and the ability to manage multiple priorities in a fast‑paced, global environment Excellent analytical, problem‑solving, and collaboration skills Experience leveraging or building AI‑enabled tools to enhance GRC processes, including developing AI assistants or automation workflows to improve regulatory monitoring, documentation, and control oversight Ability to navigate ambiguity, balance risk, and quickly learn new technologies Experience working with data systems and large datasets, including understanding data flows, retention, deletion, and access patterns Bonus Points Experience with DSR, DSAR, or privacy operations platforms Graduate‑level study in privacy engineering Experience in gaming, entertainment, or another consumer technology environment Experience working with internationally distributed teams Certifications such as CIPT, CIPP, CIPM, CISSP, CISA, CRISC, or FAIR At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law. This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble franchise, “Yahtzee With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live‑operates one of the most diversified and award‑winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world‑class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law. #J-18808-Ljbffr

Cegid busca un Cloud Engineer para la división Enterprise, ubicado en Las Rozas, con foco en RR. HH. y Nómina. Serás puente entre infraestructura, seguridad y disponibilidad, asegurando servicios fiables para clientes líderes. La posición requiere experiencia en Cloud, Networking y Sistemas, con conocimientos en AWS/Azure, VPNs, firewalls y gestión de entornos Windows y Linux. Contrato temporal de 6 a 12 meses, oportunidad de trabajar con un equipo de 4 personas. #J-18808-Ljbffr

WE POWER PEOPLE’S PROGRESS. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. MEET THE TEAM! AI Platform provides the shared foundations that help teams across Preply build, ship, and operate AI capabilities safely at scale. The area includes ML Platform, GenAI Platform, and Agentic Platform. You will lead GenAI and Agentic Platform: approximately 8-12 engineers across two teams, while partnering closely with ML Platform leadership. GenAI Platform owns shared model access, routing, evaluation, observability, prompt and configuration lifecycle, retrieval, grounding, and guardrails. Agentic Platform builds on those foundations with durable execution, tools, state, context, memory, permissions, human controls, agent evaluation, and runtime safety. The two teams share a Product Manager. Together, you will shape strategy, priorities, adoption, and outcomes; clarify what belongs in shared infrastructure versus product teams; and evolve the platform as models, frameworks, and company needs change. Learn more through our Engineering Blog https://medium.com/preply-engineering, Tech Radar https://tech-radar.preply.com/, and YouTube https://www.youtube.com/@Preplyengineering-ie3bb channel. WHAT YOU’LL BE DOING: GenAI and Agentic AI are central to Preply's AI strategy. As the Senior Engineering Manager for GenAI & Agentic Platforms, you'll own the engineering strategy, execution, and organizational health of two complementary teams that take AI workloads from experimentation to reliable production systems. This is a multi-team leadership role for a manager with strong technical judgment. You won't be the primary implementer, but you'll go deep on architecture and production AI, coach senior engineers, shape platform abstractions and operational standards, and partner with Product, Applied Science, Data, Security, and Engineering teams. Set the long-term engineering vision for GenAI Platform and the Agentic Platform, ensuring they operate as a single, coherent platform. Partner with the Product Manager across both teams to define outcomes, prioritize investments, and measure the impact of the platforms. Lead and develop approximately 8-12 engineers across two teams through clear expectations, direct feedback, performance management, career growth, and coaching. Own hiring quality, team composition, evolving team boundaries, and operating models as the platforms and company change. Guide architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions and control planes. Translate strategy into realistic plans, balancing foundational investment with near‑term product needs while surfacing trade‑offs and maintaining speed, quality, and predictability. Align senior stakeholders across Product, Applied Science, Data, Security and Engineering on platform standards, build‑vs‑buy decisions and shared priorities. WHAT YOU NEED TO SUCCEED: 8+ years of software engineering experience, including 5+ years in engineering management and experience leading multiple teams or a multi-squad technical area. A track record of hiring, coaching, and retaining high-performing teams. Strong technical depth in platform engineering, backend or distributed systems, ML infrastructure or developer infrastructure. Practical experience with production GenAI or Agentic systems and the ability to reason about model access, evaluation, observability, retrieval, agent orchestration, tool use, state, permissions, reliability, cost, and safety. AI Expertise: You use Agentic AI beyond code generation to support architecture, planning, and decision‑making, while retaining human judgment for architecture, people decisions, business logic, and security, and establishing quality gates and safety nets for team workflows. Experience leading platform products, with a strong instinct for self‑service, API design, developer experience, adoption and avoiding unnecessary complexity. Clear communication and stakeholder leadership, with the ability to align teams with different incentives, make sound decisions with incomplete information and revisit assumptions as the ecosystem changes. NICE TO HAVE: Experience managing teams that built AI or ML platforms used by multiple teams. Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal. Hands‑on familiarity with GenAI evaluation and observability, prompt or model lifecycle, retrieval systems, multi‑provider routing or open‑model serving. Experience making build‑vs‑buy decisions without locking the organization into one provider or framework. Experience measuring platform success through adoption, customer outcomes, and engineering leverage rather than infrastructure delivery alone. WHY YOU’LL LOVE IT AT PREPLY: An open, collaborative, dynamic, and diverse culture; A generous monthly allowance for lessons on http://preply.com/Preply.com http://preply.com, Learning & Development budget, and time off for your self-development; A competitive financial package with equity, leave allowance and healt #J-18808-Ljbffr

Grifols, empresa global del sector salud, busca incorporar a un profesional para revisar y garantizar que los procedimientos del laboratorio cumplan con cGMP y las especificaciones regulatorias. Supervisará el sistema de calidad y gestionará proyectos de calidad de los laboratorios de Plasma Testing. La posición implica presencia en Sant Cugat del Vallès, España, con viajes internacionales, y una asignación temporal en Egipto. #J-18808-Ljbffr

Ubicación: Hospitalet de Llobregat, ES, 8908 Fecha: 27 ago 2025 Turno: Temporal Tipo de Trabajo: Presencial Tiempo Parcial /Tiempo completo: A tiempo parcial NEFRÓLOGO/A BAIX LLOBREGAT. ¿Eres nefrólogo/a y estás buscando una nueva oportunidad laboral dentro del mundo de la diálisis? En Diaverum España tenemos muchas oportunidades para ti. Buscamos varios profesionales de la nefrología comprometidos, que disfruten trabajando en un equipo multidisciplinar y con el objetivo de mejorar la calidad de vida de los pacientes para nuestra clínica de Baix Llobregat. Qué Ofrecemos Contrato temporal por interinidad a jornada parcial Atractivas condiciones salariales Trabajar con los equipos más actualizados Formación continua y participación en Congresos Intersantes beneficios sociales No dejes escapar esta oportunidad. ¡Te estamos esperando! #J-18808-Ljbffr

¿Tienes ganas de desarrollarte en una compañía en la que puedes llegar a ser socio/a? Nuestros valores esenciales son el Cliente, la Persona y el Desarrollo Profesional. Si te sientes identificado/a, ¡sigue leyendo! SOBRE LA OPORTUNIDAD Queremos incorporar un/una ingeniero/a senior de tuberías para nuestro Área de Energy en nuestras oficinas de Minneapolis, Atlanta o en obra en Texas Desde IDOM te ofrecemos la oportunidad de desarrollar tu carrera profesional participando activamente en proyectos nacionales e internacionales que te harán superarte cada día, en un entorno de colaboración y trabajo en equipo. Te integrarás en un grupo multidisciplinar donde serás una pieza clave en el desarrollo de los proyectos. Tendrás una visión global de distintos negocios y tecnologías en un ambiente de trabajo flexible y de confianza. Si te unes a IDOM encontrarás: Flexibilidad horaria Teletrabajo 1 día a la semana Retribución competitiva para el mercado estadounidense.Patrocinio de visado de trabajo para Estados Unidos.Paquete de beneficios en EE. UU., que incluye: aportaciones de la empresa a cuentas de ahorro para gastos sanitarios (HSA), seguro médico, seguro dental, seguro de incapacidad temporal y de larga duración, seguro de vida, cuentas de gastos flexibles, plan de jubilación 401(k), vcaciones retribuidas y festivos remunerados, otros programas de beneficios. Conciliación vida familiar y profesional Apuesta por carrera profesional a largo plazo Acceso a la propiedad para todas las personas Ambiente joven, multicultural y multidisciplinar Actitud favorable a la delegación, más allá de lo habitual Compromiso mutuo Relaciones interpersonales que favorecen la unidad IDOM que ofrece igualdad de oportunidades. Todas las candidaturas cualificadas serán consideradas sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, origen nacional, discapacidad o condición de veterano. SOBRE TÍ No dudes en aplicar si... Tienes titulación superior en Ingeniería Mecánica, Ingeniería Industrial con especialidad Mecánica o similar. Tienes al menos 5 años de experiencia en diseño de plantas industriales o centrales de generación de energía, preferiblemente en un entorno internacional, incluyendo: gestión de diseño (coordinación de delineantes y diseñadores, revisión de trazados e isométricos, supervisión de planos de soportes, etc.), materiales (preparación de especificaciones de tuberías y válvulas, elaboración de RFQ y hojas de datos, revisión de documentación de proveedores, etc.), cálculos de flexibilidad de tuberías (preferiblemente mediante Caesar II) y definición de soportes especiales. Capacidad para proporcionar liderazgo, orientación e instrucciones a profesionales con menor experiencia. Experiencia en reuniones y coordinación habitual con clientes o personal externo. Capacidad para tomar decisiones de forma autónoma sobre problemas y métodos de ingeniería, analizar alternativas y comunicar la mejor solución al equipo. La experiencia en obra no es imprescindible, aunque se valorará positivamente. Tienes disponibilidad para trasladarse a Estados Unidos. Trabajas en equipo y con rigor técnico. Desempeñas tu trabajo con autonomía y mentalidad innovadora. Tienes inglés avanzado. Se valorará el conocimiento de otros idiomas. Sobre todo... tienes muchas ganas de aprender en una empresa internacional como IDOM SOBRE NOSOTROS/AS IDOM es una Asociación de Profesionales cuya actividad se enfoca en la realización de proyectos de Ingeniería, Arquitectura y Consultoría, que contribuyen a un mundo más sostenible. Las personas de IDOM estamos relacionadas por nuestro trabajo y por la propiedad de la Firma y cooperamos para lograr nuestro mayor desarrollo profesional y humano y el mejor servicio al Cliente. Es por ello que el patrimonio básico de IDOM es la valía y la experiencia de sus personas. Profesionales de alta cualificación y calidad humana, profundamente unidos, que trabajan en un marco de respeto a su identidad y libertad profesionales, con fuerte ambición de progreso, desarrollo, servicio e innovación. Desde nuestra fundación en 1957, el crecimiento ha sido continuo, constituyendo en la actualidad una organización multidisciplinar e integrada, de ámbito internacional, con presencia en 125 países en los que ejercemos nuestra actividad profesional más de 5.000 personas. ¿Estas preparado/a para dar el siguiente paso? Si te unes a nuestro EQUIPO podrás desarrollar tu carrera al más alto nivel, dentro de un entorno de profunda confianza y respeto profesional. ¡Queremos conocerte! #J-18808-Ljbffr

En Importaco, somos una compañía en constante crecimiento, especializada en ofrecer soluciones innovadoras, sostenibles y de alta calidad. ¿Te apasiona liderar proyectos de ingeniería y coordinar soluciones técnicas con impacto real en entornos industriales? Buscamos a un Responsable de Proyectos de Ingeniería para los manantiales del grupo. En esta posición tendrás la oportunidad de gestionar proyectos de principio a fin, coordinando equipos y asegurando la correcta implantación de soluciones técnicas Funciones principales: Liderar la gestión integral de proyectos de ingeniería desde la fase inicial hasta la puesta en marcha, asegurando el cumplimiento del alcance, los hitos, los recursos y los objetivos definidos. Coordinar a los equipos internos, ingenierías externas y proveedores implicados, facilitando la comunicación entre las diferentes áreas para garantizar una ejecución eficiente. Realizar el seguimiento de costes, planificación temporal y riesgos del proyecto, identificando desviaciones y proponiendo acciones correctoras. Revisar y validar soluciones técnicas, documentación de ingeniería y entregables para asegurar el cumplimiento de especificaciones, normativa aplicable y estándares internos. Impulsar mejoras en los procesos de gestión de proyectos, monitorizando indicadores clave y elaborando informes de avance para facilitar la toma de decisiones. Desplazarte puntualmente a centros productivos, proveedores y reuniones técnicas para asegurar la correcta coordinación y seguimiento de los proyectos. Se requiere disponibilidad para viajar semanalmente. Grado en Ingeniería Industrial, Mecánica, Eléctrica o similar. Máster en Gestión de Proyectos o Dirección de Ingeniería valorable. Conocimientos específicos Planificación y seguimiento de proyectos. Análisis de costes. Herramientas CAD y software técnico. Conocimientos de automatización. Experiencia Mínimo 5 años de experiencia en gestión de proyectos de ingeniería en entornos industriales. Experiencia coordinando recursos técnicos y proveedores. Incorporación inmediata: Únete a un equipo comprometido con el desarrollo y la innovación. Estabilidad y crecimiento: Oportunidades reales de ascenso dentro de la empresa. Formación continua: Apoyo constante en tu desarrollo profesional. Entorno dinámico: Un ambiente donde el cambio y la mejora continua nos impulsan. #J-18808-Ljbffr

Descripción de la empresa Como referente de la transformación ecológica , en Veolia ofrecemos soluciones para la gestión eficiente de las actividades de agua, residuos y energía, impulsando el desarrollo sostenible de las ciudades, industrias y agricultura.Trabajamos principalmente en tres gran

FREMAP-Hospital Majadahonda busca un médico especialista en Medicina Física y Rehabilitadora para un contrato temporal desde el 2 de julio hasta el 10 de septiembre.

Pertenecemos al Grupo Quirónsalud, el grupo sanitario más importante de Europa. Dentro de la multinacional, en Q-Ready nos ocupamos de la gestión integral de la salud en las empresas, con más de 35 años de experiencia, somos referentes en la gestión de la incapacidad temporal en España, prestamos servicios asistenciales de alta calidad y somos referentes en la valoración del daño corporal. Nuestro compromiso es promover la igualdad de oportunidades, basándonos en un sistema de mérito profesional y garantizando la igualdad efectiva de mujeres y hombres. Por ello, desarrollamos procesos de selección objetivos, inclusivos y centrados en la formación, la experiencia y las competencias profesionales. Actualmente buscamos un Médico/a Traumatólogo/a para la realización de valoraciones de trabajadores/as en situación de IT en Madrid. Funciones Realizar revisión médica de trabajadores en situación de IT. Valorar gravedad o grado de afectación, limitaciones, evolución y posible reversibilidad. Realizar informe médico tras valoración. Se ofrece Contrato Mercantil Precio/consulta Requisitos Graduado/Licenciado en Medicina o disponer de titulación análoga homologada para ejercer en territorio español. Especialidad Médica obtenida en España u homologada: fotocopia compulsada de la titulación Colegiación. Muy valorable consulta propia autorizada. #J-18808-Ljbffr

¿Te gustaría formar parte de una empresa global líder en innovación y tecnología intralogística? Mecalux es una de las empresas más destacadas a nivel mundial en el mercado de sistemas de almacenaje, con más de 55 años de experiencia. Es pionera en la implementación de tecnologías avanzadas para el diseño, fabricación y comercialización de soluciones logísticas, incluyendo almacenes automáticos, software de gestión y estanterías metálicas. Como parte de nuestro crecimiento, estamos buscando profesionales con talento que deseen unirse a un equipo dinámico en expansión, con visión de futuro y un compromiso firme con la innovación y el desarrollo. Actualmente estamos buscando un/a Talent Acquisition Specialist para nuestra sede de Cornellà de Llobregat (Headquarters). ¿Cuáles serán tus principales funciones? Gestión íntegra de los procesos de selección para los distintos Departamentos Corporativos en Headquarters y filiales de la Compañía (desde la definición del puesto hasta la contratación, onboarding y acogida). Gestión de las contrataciones: oferta, negociación de condiciones laborales, gestión documental e incorporación. Onboarding de nuevos empleados: ruta por las instalaciones, formación inicial y presentación de empresa. Participación en la estrategia de Selección, Captación y Desarrollo de Talento, contacto directo con Departamentos y Delegaciones para el análisis de necesidades y seguimiento de los procesos y candidaturas. Análisis del mercado laboral, movimientos de contratación en sectores y asesoría en esta materia al cliente interno. Contacto con Universidades, centros y organismos de formación para el establecimiento de colaboraciones, así como participación en Foros de Empleo y eventos de talento. Negociación y gestión de los partners y proveedores externos para las distintas fases de los procesos de selección. Recogida, gestión y análisis de KPIs de rotación, altas, bajas y movimientos de plantilla (People Analytics) para el liderazgo de la estrategia de crecimiento de la empresa. Desarrollo de proyectos en colaboración con Departamentos afines como Marketing, Legal, Administración y otros para la consecución de objetivos en estrategias del negocio. Gestión de Proyectos de Recursos Humanos Corporativos. Formación Universitaria en Relaciones Laborales, Psicología, Sociología, ADE o similares. Experiencia de al menos 3 años desarrollando tareas de Selección de Personal. Conocimiento sobre el uso de distintas fuentes de reclutamiento. Conocimientos de manejo de Paquete Office. Persona proactiva, ordenada y con alta orientación a la calidad en el trabajo. Inglés nivel alto hablado y escrito. Participación en proyectos innovadores y de alto interés profesional con una de las empresas líderes en su sector. Integración en equipos de alta cualificación. Empresa en constante evolución y muy consolidada en su sector. Buen ambiente de trabajo. Altas posibilidades de evolución y crecimiento profesional. Salario competitivo en función de la experiencia y valía de la candidatura. Te brindamos la oportunidad de impulsar tu carrera en el dinámico sector de la logística, uno de los más prometedores en la actualidad. Si buscas crecer profesionalmente en un entorno de constante evolución, ¡nos encantaría contar contigo en nuestro equipo! En Mecalux tenemos un compromiso con la igualdad de género. Por ello, nuestra voluntad es promover activamente la participación de mujeres y hombres en nuestros procesos de selección y así mismo, garantizar que éstos sean justos y objetivos sin distinción de sexo, orientación, identidad, colectivo, expresión de género o cualquier otra característica protegida por ley. Recruitment & Admissions Specialist (posición temporal) #J-18808-Ljbffr

Palona is building AI for the physical world, starting with restaurants. Understanding a busy restaurant means making sense of people, objects, activities, and events as they change over time, despite occlusion, changing lighting, varied camera views, and incomplete information. We are looking for an AI Research Engineer with a strong research background in computer vision and vision-language models (VLMs) to develop the visual intelligence behind Palona’s products. You will work on image and video understanding, spatiotemporal reasoning, and multimodal models that connect visual observations to useful insights and actions in real restaurant environments. This role combines research depth with ownership of working systems. You will formulate research questions, build datasets, train and evaluate models, and partner with product and engineering to bring successful approaches into production. Researchers and engineers from autonomous driving, robotics, embodied AI, and related perception fields are especially encouraged to apply. What you’ll own Develop computer vision and VLM approaches for scene understanding, object detection and tracking, activity recognition, and understanding events across video. Adapt, fine-tune, and evaluate vision and vision-language models for visual grounding, temporal reasoning, and structured prediction grounded in observable evidence. Design training and adaptation strategies, including supervised fine-tuning, representation learning, distillation, and domain adaptation, based on measurable product needs. Build representative image and video datasets, annotation workflows, and evaluation sets that capture difficult edge cases while protecting sensitive data. Create rigorous experiments and benchmarks that measure perception quality, temporal consistency, hallucinations, robustness, latency, and cost across locations and operating conditions. Diagnose failures caused by occlusion, lighting changes, camera placement, rare events, and domain shift; use those findings to improve data and models. Partner with infrastructure and product engineers to deploy efficient inference pipelines, with monitoring, quality gates, staged rollouts, and rollback paths. Translate advances in computer vision, VLMs, and embodied AI into practical product capabilities, and communicate the evidence and tradeoffs behind your decisions. Raise research and engineering standards through reproducible experiments, thoughtful reviews, and clear documentation. 3+ years of research or applied development experience in computer vision, multimodal learning, or a closely related field; relevant graduate research counts toward this experience. A demonstrated research track record in computer vision or vision-language modeling, through publications, substantial research projects, open-source contributions, or research delivered in industry. Strong foundations in deep learning, visual representation learning, and experimental design, with depth in areas such as video understanding, detection and tracking, visual grounding, or multimodal reasoning. Hands-on experience training, fine-tuning, or adapting computer vision models, and developing or evaluating VLMs beyond basic API integration. Strong Python skills and experience with PyTorch or an equivalent deep learning framework, along with modern training and evaluation tooling. Experience building datasets, designing reliable evaluations, analyzing model failures, and using ablations to understand what drives improvements. Strong software engineering judgment and the ability to turn research code into reproducible, tested systems that other engineers can use. Ability to connect modeling choices to product constraints including latency, cost, privacy, reliability, and user experience. Comfort working through ambiguity and collaborating across research, engineering, and product. Especially relevant experience A PhD or research-focused master’s degree in computer vision, machine learning, robotics, or a related field, or equivalent research experience. Industry research or engineering experience in autonomous driving, robotics, embodied AI, or other applications of perception in the physical world. Publications at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, ICRA, or RSS. Experience with monocular video perception, spatial understanding, long-video reasoning, or learning from limited and noisy labels. Experience shipping vision models under real-time constraints, including model compression, distillation, quantization, or inference optimization. Competitive salary and stock option plan. Company-sponsored green card applications for strong candidates hired into U.S.-based roles, subject to eligibility. Medical, dental, vision, and retirement benefits as applicable. Family leave and short-term and long-term disability benefits as applicable. Paid time off and company holidays. Learning and development support. #J-18808-Ljbffr

Oferta de Empleo: Ingeniero/a Eléctrico de Proyectos Power (MT/BT) En Grupo INVOIN , buscamos un/a Ingeniero/a Eléctrico de Proyectos Power (MT/BT) para incorporarse a un importante proyecto del sector energético. La persona seleccionada participará en el desarrollo de la ingeniería eléctrica para proyectos de generación de energía, colaborando en el diseño de instalaciones eléctricas, la preparación de documentación técnica y la gestión técnica de equipos y materiales durante todas las fases del proyecto. Buscamos un perfil con experiencia en instalaciones eléctricas de Media Tensión (MT) y Baja Tensión (BT) , elaboración de documentación técnica y participación en proyectos multidisciplinares del sector energético. Características del puesto Salario competitivo , acorde a la experiencia aportada. Modalidad: Presencial. Jornada completa. Ubicación: Madrid Principales funciones Elaborar especificaciones técnicas , hojas de datos , diagramas unifilares , diagramas de protección y medida , listados de cables , listas de cargas y cómputos de materiales eléctricos . Gestionar órdenes de compra de equipos y materiales eléctricos, incluyendo solicitudes de oferta , evaluaciones técnicas , requisiciones de compra y revisión de documentación técnica y planos de proveedores . Dar soporte a las actividades de inspección y pruebas de aceptación en fábrica (FAT) . Proporcionar soporte técnico en obra cuando sea necesario. Contribuir a la mejora continua del departamento mediante la aplicación de lecciones aprendidas , ingeniería de valor , identificación de necesidades formativas y promoción de buenas prácticas. Reportar al Líder de Proyecto Eléctrico y/o al Ingeniero Eléctrico Senior . Requisitos Formación y Experiencia: Grado en Ingeniería Eléctrica , Ingeniería Industrial , Ingeniería de Minas (especialidad Energía) o titulación equivalente. Se valorará Máster en Ingeniería Eléctrica . Experiencia en el diseño de instalaciones eléctricas de Media Tensión (MT) y Baja Tensión (BT) para proyectos de generación de energía. Habilidades y Conocimientos: Dominio de Microsoft Office . Se valorarán conocimientos de herramientas de ingeniería eléctrica como ETAP , SKM Power Tools , SmartElectrical o similares. Nivel alto de inglés . Experiencia en la elaboración de documentación técnica eléctrica y gestión de documentación de proveedores. Conocimientos de procesos de compras técnicas y gestión de equipos y materiales eléctricos. Competencias personales: Buenas habilidades de comunicación . Capacidad de organización y planificación. Actitud proactiva y orientación a resultados. Capacidad para trabajar en equipos multiculturales y multidisciplinares . En Grupo INVOIN , valoramos el talento y el compromiso. Te ofrecemos: Participación en proyectos internacionales del sector energético . Contrato temporal inicial de 9 meses , con posibilidad de incorporación indefinida. Desarrollo profesional mediante formación continua y participación en proyectos de elevada complejidad técnica. Integración en un equipo multidisciplinar altamente especializado. ¿Te interesa? ¡No dejes pasar esta oportunidad! Descubre todas nuestras ofertas de empleo #J-18808-Ljbffr

We’re BrainRocket — an international software development and digital solutions company driven by 1,300 talented professionals across Cyprus, Malta, and Portugal. Here, everything moves at rocket speed: driving innovation, pioneering projects, and fast-tracking careers. Together, we turn ideas into action — let’s get started! Responsibilities ✔️ Expert proficiency with leading cloud models: Runway (Gen-3 Alpha) , Luma Dream Machine , Kling AI , Hailuo (MiniMax) , and Veo 3 . Understanding the strengths and weaknesses of each for specific tasks (e.g., realism vs. animation). ✔️ Post-Production & Compositing: Strong skills in Adobe After Effects , Premiere Pro, or DaVinci Resolve to composite AI layers, fix artifacts, and handle color grading. ✔️ Open Source Video Models: Hands‑on experience implementing and fine‑tuning open weights models like CogVideoX , Hunyuan Video , Mochi 1 , and LTX‑Video within local environments. ✔️ Character Performance & Lip‑Sync: Experience creating talking heads and expressive avatars using LivePortrait , Hedra , Hallo , or SyncLabs . Ability to fix uncanny valley effects. ✔️ Video‑to‑Video & Style Transfer: Proficiency in styling footage using DomoAI , LensGo , or custom EbSynth workflows for consistent temporal stylization. ✔️ Upscaling & Restoration: Expert use of Topaz Video AI and Magnific (for video frames) to achieve 4K production quality without artifacts. ✔️ Advanced ComfyUI Architectures: Mastery of complex node‑based workflows for video. ✔️ AI Video Production: Create high‑quality video assets (cutscenes, dynamic backgrounds, VFX, character loops) using Text‑to‑Video and Image‑to‑Video workflows. ✔️ Motion Consistency: Solve common AI animation challenges (flickering, morphing) using deflickering tools, temporal smoothing, and loop‑back techniques. ✔️ Pipeline Development: Build and optimise ComfyUI workflows for specific animation tasks. ✔️ Storyboarding & Animatics: Translate scripts and static concepts into dynamic animatics and video mood‑boards. ✔️ LoRA & Model Tuning: Train or fine‑tune models on specific art styles or characters to ensure they remain recognisable in motion. ✔️ Cross‑Functional Collaboration: Work closely with Traditional Animators and Game Designers to integrate AI‑generated layers into existing motion graphics or game engines. Benefits ✅ We offer excellent benefits, including but not limited to: Learning and development opportunities and interesting challenging tasks; Official employment in accordance with the laws of the EU, registration of family members; ✈️ Relocation package (tickets, staying in a hotel for 2 weeks); ️ ♂️ Company fitness corner in the office for employees; Opportunity to develop language skills and partial compensation for the cost of language classes; Time for proper rest and 24 working days of Annual Vacation; Breakfasts and lunches in the office (partially paid by the company). Bold moves start here. Make yours. Apply today! #J-18808-Ljbffr

Grafton busca un/a Area Manager para liderar la gestión comercial de la zona de Madrid, con cobertura de redes de farmacias y desarrollo de negocio. Responsabilidades: gestionar la red de farmacias, cumplir objetivos de ventas, ejecutar la estrategia, analizar ventas y KPI, realizar formaciones y promociones en punto de venta, y fortalecer relaciones con clientes clave. Oferta: proyecto temporal de 12 meses, movilidad geográfica posible, paquete retributivo competitivo y herramientas de trabajo; #J-18808-Ljbffr