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NTT DATA is the 6th biggest IT Service Company in the world with more than 100.000 professionals and a turnover of more than 15 billion euros. We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. The Group has the ambitious goal to position within the TOP 3 worldwide. We have been awarded Best Place to work in Spain for 4 consecutive years. MLOps practices are both a strategic bet and a fast-growing initiative. The position can be based in Spain Barcelona, even if the geographical scope is Europe. The desirable characteristics are: What are we looking for? We are seeking a ML Engineer to our team to take on the technical design and implementation in projects within the scope in initiatives for top-tier organizations. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: • Defining and implementing technical solutions related to AI Platform framework/methodology., • Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment., • Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites., • Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases., • Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your responsibilities around our artificial intelligence services will be focused on the following fields of action: • Project execution: ensuring the achievement of technical milestones in terms of effectiveness, efficiency and customer satisfaction. Identifying resources needed to do so while ensuring proper management of time, risk and quality., • Development of IaC scripts and pipelines to automate management and deployment of AI Platforms., • Development of CI/CD pipelines leveraging model development industrialization., • Development of custom software integrations to integrate external systems with the AI Platform., • Technical decision making. Why would we want to meet you? We want to meet you if: • You have 3 or more years of experience with AI-related projects., • You have experience working with IaC (CDK, Terraform, Ansible, etc.), • You have experience working with CI/CD tools (Jenkins, GitHub Actions, etc.), • You have strong coding skills in any of the most well-known Object-Oriented languages: Python, Java, C#, etc., • You have worked with artificial intelligence in a startup, large company or academic environment helping Data Scientist to deploy their work in production., • You are oriented to achieving high quality results and continuously improving., • You are committed to transmitting knowledge to the entire team. We will positively value: • Experience with MLOps tools and frameworks, either from the Open-Source community or from a specific cloud provider., • Building CI/CD pipelines in the context of artificial intelligence., • Software design patterns knowledge., • Data Engineering skills and knowledge., • Experience with model and data monitoring., • IAM knowledge (users, groups, roles, permissions, etc.) What do we offer? We propose: • To work on projects for leading companies in Spanish and European market., • To be involved in high priority projects with visibility to senior leadership, • To apply the latest technical innovations in artificial intelligence platforms in AWS., • To attend and give conferences., • To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies., • A competitive salary according to provided experience., • A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications). If you are interested or would like to have more information, please apply via this advertisement.

We are hiring a Senior Bioinformatics Scientist at the Carlos Simon Foundation Are you an experienced Bioinformatician with a drive to impact the lives of patients worldwide? Would you like to apply your bioinformatics and data science expertise to some of the most pressing issues in women’s health? Here, at the Carlos Simon Foundation, we are positioned at the forefront of scientific discovery in reproductive medicine and women’s health. As a Senior Bioinformatics Scientist at the Carlos Simon Foundation, you will serve as a key member of the Bioinformatics & Biostatistics function. Among other things, you will be responsible for supervising junior staff members, leading and conducting bioinformatics analyses of NGS and other omics data, developing novel analytical methods, and driving the strategy for the management, utilization, and reuse of omics data within the Foundation. Key Accountabilities and Responsibilities: • Serve as a key senior member of the Bioinformatics & Biostatistics function., • Lead complex bioinformatics analyses of human NGS datasets., • Collaborate closely with a multidisciplinary team of biologists, biostatisticians, lab technicians, etc., • Ensure analytical excellence, quality, and impact of conducted studies., • Supervise, lead, and train junior bioinformaticians., • Develop novel bioinformatics and analytical methodologies., • Disseminate the results of data analyses internally and externally; support the Foundation’s researchers in publications. Required skills and experience: • PhD in Bioinformatics, Mathematical Statistics, Computer Science, or another quantitative discipline; alternatively, MSc in a technical field and 3+ years of industry experience., • Proven experience in data analysis, management, and visualization within several of the following core areas: RNA and DNA-based NGS, multivariate and/or high-dimensional omics integration, single-cell transcriptomics, epigenomics, metagenomics., • Proficiency and deep understanding of several areas within modern NGS bioinformatics (bulk- and scRNA-seq, ATAC-seq, Spatial Transcriptomics, etc.)., • Comprehensive knowledge of key bioinformatics tools and algorithms., • Fluency in R, Bioconductor, RMarkdown, and related analysis tools., • Proficiency in working with Linux- and/or cloud-based HPC environments, experience with shell scripting and standard command line tools., • Solid understanding of molecular and cell biology., • Strong foundation in biostatistics, data science, and machine learning. Other requirements: • Experience in supervising junior team members, • Experience with developing reproducible bioinformatics pipelines using Snakemake / Nextflow, • Understanding in good software development practices and collaboration tools. Fluency with git is desirable., • Ability to clearly communicate bioinformatics algorithms, machine learning and statistical methods to non-technical stakeholders., • Experience in either Python (Pandas and NumPy stack) or a lower level programming language (Rust, C++, Java, etc.), • Ability to quickly understand scientific, technical, and process challenges and break down complex problems into actionable steps., • Ability to independently establish priorities and manage project workload, • Excellent communication skills. Ability to network, influence, and build relationships., • Ability to work collaboratively and balance the need of multiple stakeholders, • Capable of proposing innovative ideas We offer: • Full package with attractive salary conditions based on the candidate's skills, experience, and suitability once selected., • Flexible working hours and hybrid work mode., • Future working trajectory within the Foundation., • 22 vacation days, 2 personal leave days and 2 “pink days” (working hours adjustment)., • Internal training opportunities and a collaborative research environment., • Access to flexible compensation program (meal, nursery, transport vouchers, health insurance)., • On-site childcare program during school holidays., • Free coffee, snacks and kitchen essentials., • Gym partnership at reduced rate., • Team events: summer dinner, holiday celebration, paella contest.

NTT DATA is the 6th biggest IT Service Company in the world with more than 100.000 professionals and a turnover of more than 15 billion euros. We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. The Group has the ambitious goal to position within the TOP 3 worldwide. We have been awarded Best Place to work in Spain for 4 consecutive years. What are we looking for? We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing. You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: • Defining and implementing technical solutions related to AI Platform framework/methodology., • Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment., • Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites., • Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases., • Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your responsibilities around our artificial intelligence services will be focused on the following fields of action: • Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines., • Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability., • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions., • Develop and maintain reusable AI components and best practices for GenAI systems., • Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud., • Stay current with advancements in AI and proactively propose innovations., • Contribute to code reviews, documentation, and mentoring junior team members. Why would we want to meet you? We want to meet you if: • Solid understanding of AI foundations, including both classical machine learning and generative AI., • Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks., • Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace)., • Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production., • Strong software engineering practices (version control, CI/CD, testing, containerization)., • Must be located in or willing to relocate to Spain. We will positively value: • Master’s degree in Computer Science, Engineering, Data Science, or related field., • Experience with MLOps tools and practices., • Experience in Agile/Scrum environments and collaborating with remote teams., • Excellent command of English (C1-C2 level)., • Background in consulting or client-facing AI delivery projects. What do we offer? We propose: • To work on projects for leading companies in Spanish and European market., • To be involved in high priority projects with visibility to senior leadership, • To apply the latest technical innovations in artificial intelligence platforms in AWS., • To attend and give conferences., • To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies., • A competitive salary according to provided experience., • A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications). If you are interested or would like to have more information, please apply via this advertisement.

Take your career to the next level with Amaris Consulting as a Data Scientist - GenAI . Become part of an international team, thrive in a global group with a turnover of €800 million and over 1,000 clients worldwide, and work in an agile environment planning and monitoring projects. The ideal candidate has solid experience in Active Directory, Azure, Office 365, Windows, Mac OS, JIRA, and warehouse management, with strong incident handling skills. Join Amaris Consulting, where you can develop your potential and make a real impact within the company. ✍️ WHAT WOULD YOU NEED ✍️ • +4 years of experience as a Data Scientist - GenAI., • Proven expertise in Generative AI (LLMs, fine-tuning, evaluation)., • Strong background in Machine Learning & Deep Learning (model development & deployment)., • Solid experience designing, developing, and maintaining NLP-driven systems for task automation, insights generation, and workflow optimization., • Languages: Spanish (native level), English (fluent)

Te apasiona la inteligencia artificial, los modelos predictivos y transformar datos en valor real? Si buscas un reto en el que tus algoritmos tengan impacto en proyectos innovadores, ¡ésta es tu oportunidad! Queremos sumar a nuestro equipo un Senior Data Scientist con experiencia consolidada en

Senior Data Scientist (LLMs) – Freelance (Pharma industry). The Senior Data Scientist will be responsible for:. If you are an experienced Data Scientist with deep knowledge of LLMs and are available for a freelance role, we would be pleased to discuss this opportunity with you.

Join us as a Founding Senior Software Engineer to build the next generation AI analytics platform for helping product, marketing and sales teams make sense of customer feedback at scale! This is not a full remote role so you are expected to work at least 3 days a week in the office. This role is not suitable for you if you have been working mainly on freelancing projects or only in consulting. We require strong experience working on the same product over a long period of time within a product or data platform organization. 1. Who we are Taizen is building the next-generation AI analytics platform for customer feedback. We recognize that making sense of qualitative customer feedback from multiple feedback sources is manual and time-consuming for product, marketing and sales teams to get an in-depth view of customer pain points and identify opportunities to drive sales and retention leading to millions of euros in incremental revenue. ‍‍‍ The next frontier of knowledge work will be AI-assisted and our mission is to accelerate this transition into an AI-first world by enabling companies create more value for their customers through a deeper understanding of customer needs. Taizen equips teams with the super powers to go beyond tracking explicit user actions to gleaning insights from unstructured customer feedback data from multiple feedback sources and customer touchpoints. We do this by simplifying complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automating AI insight extraction at scale and building agents that "gets your insights job done" on your behalf without needing a data scientist or data analyst. We’ve processed over 500M user signals to date and serve several data-driven and Enterprise companies. If you’re excited about the potential to redefine what the future of data-driven organizations should look like in an AI-first world, then you just might have found your band! We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally. 2. About the role We are currently seeking an experienced Senior Software Engineer with a strong Data and Backend background to join our growing team. As a Founding Engineer on the team, you will be responsible for building a scalable backend infrastructure for our data-intensive web app, optimizing storage/database workloads, ensuring high availability for our AI/ML backend services, scaling our integrations with multiple tools for ingesting different data types, and building robust data pipelines for data transformation and processing. You’ll partner closely with Full-Stack Engineers and AI/ML Scientists to ship production systems powered by LLMs and ML models. Key Responsibilities Build and own scalable backend services for our data-intensive web app and AI/ML model serving Make database and storage trade-offs to optimize for the best performance when managing large amounts and varieties of data, including vector stores Build robust batch and real time data pipelines that can scale with increased load and data Build and maintain data integrations with different data sources and platforms (source and sink) Design and manage the evolution of flexible data models and database infrastructure to handle different types of data sources and data points, optimizing for fast reads/writes Implement and manage a robust workflow orchestration for multiple data jobs Setup robust testing practices, monitoring and observability to ensure the reliability of all services and data pipelines Stay up-to-date with Software Engineering and Data Engineering Best Practices Minimum Qualifications Bachelor's or Master's Degree in Computer Science or a related field Solid CS fundamentals and distributed systems knowledge is a must-have Experience building scalable data pipelines, orchestrating workflows and optimizing pipelines Experience working with data warehouse technologies Experience working with TypeScript/NodeJS/Python and a strongly typed language Very comfortable working across the data and backend Comfortable managing cloud infrastructure for backend, ML and data pipelines at scale (DevOps) Ability to work collaboratively with cross-functional teams including Frontend and Machine Learning Engineers Additional Requirements Previous experience working with LLMs Familiarity with vector databases/stores Ability to work across the stack and pick up new tools/technologies Strong problem-solving skills and ability to work in a fast-paced environment Excellent communication and interpersonal skills 3. Why you definitely want to work with us Asides from being part of an exciting mission and building things from scratch, you’ll be part of a small fun and ambitious team that loves moving fast and trying things out. ‍‍‍ You’ll be doing one of the most impactful works of your career, making people’s lives better through AI. You will work hard, but we will celebrate the small and big wins together. We will organize company offsites a few times a year to work and play together. And of course, you will get a competitive salary, significant equity ownership and professional development opportunities!

¿Eres Data Scientist y buscas trabajo 100% remoto? Esta oferta es para ti. En Quental estamos buscando Científic@s de datos con mentalidad analítica y pasión por la innovación en Machine Learning para sumarse a nuestro equipo, donde el crecimiento personal va de la mano del desarrollo profesional. Lo que harás: Resolver retos de negocio con modelos predictivos reales. Realización de las funciones end-to-end desde cero basadas en soluciones de análisis de datos e IA. Definir y desarrollar soluciones end-to-end, aplicando modelos Machine Learning. Documentación técnica y funcional. Lo que buscamos en ti: Grado universitario en Ingeniería Informática, Matemáticas o Física. 3 años de experiencia real en desarrollo de proyectos de machine learning tradicional habiendo participando en las tareas de diseño y desarrollo de la solución. Dominio de Python (scikit-learn, pandas, NumPy) PySpark (Muy valorable) ¡Y si sabes R o tienes don de gentes, lo valoramos mucho! Lo que ofrecemos: Contrato indefinido, Jornada completa. Rango salarial: de acuerdo a la experiencia aportada Trabajo 100% remoto Horario de trabajo de oficina, ¡tenemos los viernes intensivos! Inclusión en el programa de beneficios y descuentos, para disfrutar de tus eventos, vacaciones, compras diarias y caprichos, beneficiándote de todos los descuentos que aporta el Quental Club Benefits! Desarrollo de carrera en un ambiente colaborativo y con bonificaciones a tu formación continua , para que siempre estés actualizado y a la última en cuanto a tecnología y tendencias en transformación digital. ¿Listo/a para dar el siguiente paso en tu carrera? Postúlate hoy y empieza a trabajar desde donde quieras , con quienes creen en lo que haces .

A QUÉ RETO TE VAS A ENFRENTAR? Diseñar y desarrollar modelos de machine learning, deep learning y NLP Preparar, transformar y analizar grandes volúmenes de datos estructurados y no estructurados Evaluar e integrar modelos de IA en entornos productivos Participar en la definición té

Hands-on experience with SQL for data exploration and pipeline development.

Data Science, AI y modelos de Machine Learning aplicados a negocio.

Take your career to the next level with Amaris Consulting as a Data Scientist - GenAI. WHAT WOULD YOU NEED ✍️ +4 years of experience as a Data Scientist - GenAI.

Take your career to the next level with Amaris Consulting as a.Become part of an international team, thrive in a global group with a turnover of €800 million and over 1,000 clients worldwide, and work in an agile environment planning and monitoring projects.The ideal candidate has solid experience

Role Overview The Senior Data Scientist will be responsible for: Developing, fine-tuning, and deploying LLM-based solutions Working hands-on with Python and ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers Designing experiments and evaluation frameworks for generative AI s

If you are an experienced Data Scientist with deep knowledge of LLMs and are available for a freelance role, we would be pleased to discuss this opportunity with you. Senior Data Scientist (LLMs) – Freelance (Pharma industry). The Senior Data Scientist will be responsible for:.