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MatchPoint Solutions is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you! AI Optimization Engineer Jersey CityNJ 6 Months $80 - $90/hr on W2 Qualifications • Proficiency in languages such as Python with experience in libraries like NumPy and scikit-learn., • Knowledge of various machine learning algorithms including supervised and unsupervised learning neural networks decision trees clustering and dimensionality reduction., • Experience with deep learning frameworks such as TensorFlow PyTorch or Keras and knowledge of their architectures and APIs., • Proficient with SLURM workload manager with REST and Flask APIs for automated and secure job scheduling., • Experienced in scalable infrastructure for deploying and managing large language models (LLMs), • HPC engineer with hands-on experience designing and managing GPU-accelerated clusters for large-scale AI/ML workloads., • Experience with deploying machine learning models in production environments including containerization microservices and API design., • Leveraging Prometheus and Grafana to collect and analyze metrics identify performance issues and implement fixes. Experience creating Slurm and Triton metrics will be a plus., • Familiarity with Triton Inference Server including its architecture configuration and deployment., • Knowledge of model optimization techniques including pruning quantization and knowledge distillation., • Exploratory Data Analysis - Plotly Seaborn matplotlib, • Deep Learning Neural Networks Decision Trees Ensemble Methods Gradient Boosting Support Vector Machines Random Forest Logistic Regression Transfer learning Transformer based models BART Hyperparameter Tuning Gen-AI CNN Computer Vision NLP, • Tools and Platforms like - Docker Kubernetes Jupyter MLFlow Github Terraform Jenkins HuggingFace, • Flask API Development and Security, • Container Runtimes: Enroot Pyxis Podman, • Linux (RHEL/CentOS) System Administration, • Model Optimization techniques using Triton with TRTLLM Desired Qualifications:, • Experience with data cleaning feature scaling and normalization, • Programming skills creating UI/UX using the Angular framework HTML CSS and JavaScript, • Creating vector embeddings, • Tools and Platforms like - AWS (SageMaker Lambda EC2), • Database Technologies Oracle MS-SQL MongoDB Redis and MySQL This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training. Key Skills Automotive,Atl,Architectural Design,HAAD RN,Jboss,Accident Investigation Employment Type : Full Time Experience: years Vacancy: 1

Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank- Global Banking you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives. Job responsibilities • Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to team culture of diversity opportunity inclusion and respect Required qualifications capabilities and skills • Formal training or certification on software engineering concepts andminimum 3 years of applied experience, • Strong proficiency in React and its core principles including component based architecture using React JS enhancing code quality with TypeScript and solid understanding of JavaScript, • Proven experience with programming languages and frameworks including Java Spring Boot Spring MVC and Spring Cloud, • Experience with events/event streaming and experience with Kafka for building real-time data pipelines and streaming applications, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD Application Resiliency and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.) Preferred qualifications capabilities and skills • Familiarity with Database technologies like Aurora Postgres or Oracle, • Exposure to cloud technologies Required Experience: IC Key Skills Access Control System,Engineering,Bar Management,Jpa,Law,Jdbc Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 133000 - 185000

Description As an AI Engineer Intern youll join a global team of engineers and product professionals working on AI-enabled digital solutions transforming P&C insurance. This internship provides hands-on exposure to threecore disciplines: applied AI/ML production AI/LLM systems engineering and agentic AI systems. Youll contribute to real projects across the AI product lifecycle from model experimentation to production support while learning from experienced engineers in a fast-paced enterprise environment. This position offers a unique opportunity to gain hands-on experience building production AI systems at enterprise scale while contributing to Chubbs AI-driven transformation. We expect our AI engineers to be AI-native in how they work. You should be comfortable using AI-powered coding tools (e.g. GitHub Copilot Cursor Claude Code) and agentic development environments to accelerate your workflow debug problems and explore solutions. Key Responsibilities Applied AI/ML • Assist AI engineers in building and testing ML/AI solutions for business challenges in cloud environments, • Support experimentation with LLM techniques including prompt engineering fine-tuning workflows and evaluation methods, • Help curate and prepare datasets for model training and evaluation, • Contribute to building and testing AI service components including APIs inference pipelines and integration layers, • Assist with prompt management versioning and testing workflows, • Support documentation and testing of AI system integrations, • Explore agentic AI frameworks (e.g. LangChain CrewAI AutoGen) through guided prototyping projects, • Assist in testing agent behaviors tool integrations and multi-step workflows, • Support evaluation and observability efforts including prompt tracing and performance logging, • Write clean well-documented code following team standards and guidelines, • Participate in code reviews (as reviewer and reviewee) to develop engineering judgment, • Communicate progress blockers and learnings clearly to mentor and team, • Complete a capstone project demonstrating skills developed during the internship Qualifications • Currently pursuing a Bachelors or Masters degree in Computer Science Data Science Machine Learning or related technical field, • Proficiency in Python programming (coursework personal projects or prior internship experience), • Foundational understanding of machine learning concepts (supervised/unsupervised learning neural networks model evaluation), • Familiarity with version control systems (Git), • Comfortable using AI-powered coding assistants (e.g. GitHub Copilot Cursor Claude) as part of your development workflow, • Strong problem-solving skills and attention to detail, • Exposure to ML frameworks and libraries (PyTorch TensorFlow Hugging Face Transformers scikit-learn) The pay range for the role is $20/hr. - $24/hr. The specific offer will depend on an applicants skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package more details on which can be found ___

We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing deploying and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning deep learning frameworks model optimization techniques and scalable AI infrastructure. The engineer will work closely with AI infrastructure and DevOps teams to design efficient model training and inference pipelines implement SLURM-based workload orchestration and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning quantization and knowledge distillation managing inference workflows using Triton Inference Server and monitoring system performance using Prometheus and Grafana. This role requires hands-on experience with HPC environments GPU clusters containerization technologies and Linux system administration along with strong knowledge of machine learning algorithms deep learning architectures and modern AI development tools. Experience with cloud platforms vector embeddings and enterprise-scale AI deployments is highly preferred. * Design and optimize AI/ML workloads on GPU-based HPC clusters. * Deploy and manage large language models (LLMs) in scalable production environments. * Implement model optimization techniques including pruning quantization and knowledge distillation. * Develop and manage automated job scheduling using SLURM with REST and Flask APIs. * Deploy ML models using containerized microservices architectures. * Monitor system performance using Prometheus and Grafana. * Optimize inference pipelines using Triton Inference Server and TRTLLM. * Conduct exploratory data analysis and model performance evaluation. * Collaborate with infrastructure and ML teams to improve scalability and efficiency. The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning including NumPy scikit-learn TensorFlow PyTorch and Keras with hands-on knowledge of supervised and unsupervised learning neural networks transformer-based models NLP CNNs and Generative AI concepts. The role requires expertise in AI infrastructure and optimization including HPC environments GPU clusters SLURM workload management Triton Inference Server TRTLLM and model optimization techniques such as pruning quantization and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker Kubernetes MLFlow Terraform Jenkins GitHub and HuggingFace along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development Linux administration (RHEL/CentOS) container runtimes like Enroot Pyxis and Podman and experience with data analysis and visualization tools such as Plotly Seaborn and Matplotlib. Required Skills: Skills Required Short Summary The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning including NumPy scikit-learn TensorFlow PyTorch and Keras with hands-on knowledge of supervised and unsupervised learning neural networks transformer-based models NLP CNNs and Generative AI concepts. The role requires expertise in AI infrastructure and optimization including HPC environments GPU clusters SLURM workload management Triton Inference Server TRTLLM and model optimization techniques such as pruning quantization and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker Kubernetes MLFlow Terraform Jenkins GitHub and HuggingFace along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development Linux administration (RHEL/CentOS) container runtimes like Enroot Pyxis and Podman and experience with data analysis and visualization tools such as Plotly Seaborn and Matplotlib. Required Education: bachelors Key Skills Automotive,Atl,Architectural Design,HAAD RN,Jboss,Accident Investigation Employment Type : Full Time Experience: years Vacancy: 1

Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2000 customers and operations in 13 cities around the world we are the AI technology solutions provider-of-choice to 4 out of 5 of the worlds biggest technology companies as well as leading companies across financial services insurance technology law and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies a global workforce of subject matter experts and a high-security infrastructure were helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use high-quality platforms. Our global workforce includes over 3000 employees in the United States Canada United Kingdom the Philippines India Sri Lanka Israel and Germany. Were poised for a period of explosive growth over the next few years. Position Summary: Innodata is expanding its team of technical experts in LLM training post-training and evaluation systems. As an AI/ML Research Engineer LLM Training & Evaluation you will build and optimize the technical foundations that power model improvement for foundation model builders and leading labs. This role is ideal for someone who has hands-on experience fine-tuning and evaluating large language models (and ideally multimodal models) and who can bridge research and engineering in real-world customer environments. You will work closely with Language Data Scientists Applied Research Scientists data engineers and client technical stakeholders to design and implement robust training/evaluation pipelines using both human-in-the-loop and AI-augmented methods. The ideal candidate brings a strong computer science / machine learning engineering background experience with modern LLM post-training workflows and the ability to engage credibly with technical counterparts at leading AI organizations. Who Were Looking For: You have at least 2-3 years of relevant experience in machine learning engineering applied ML systems or research engineering with substantial hands-on work in LLMs and multimodal foundation models. You have built adapted or optimized model training and evaluation pipelines and you understand the practical realities of experimentation at scale: reproducibility debugging metrics quality and iteration speed. You are comfortable operating in ambiguous high-complexity environments and can move from problem framing to implementation. You can collaborate effectively with both researchers and engineers and you are credible in technical conversations with sophisticated customer stakeholders (e.g. AI researchers ML engineers technical product leads). You bring a builder mindset and strong engineering judgment while also understanding that evaluation quality and data quality are central to model improvement. You are excited to partner with human evaluation experts and language data scientists to create integrated post-training and evaluation systems. Tell Me More: As an AI/ML Research Engineer LLM Training & Evaluation you will design and implement the pipelines and tooling that connect data evaluation and post-training. You will help customers and internal teams move from evaluation findings to measurable model improvements. Your work may include building fine-tuning workflows (e.g. supervised fine-tuning and preference-based optimization) integrating evaluation harnesses into model development loops improving experiment reliability and throughput and supporting advanced evaluation scenarios such as long-context cross-modal and dynamic multi-turn interactions. You will also contribute to Innodatas internal R&D efforts including benchmark datasets evaluation frameworks and reusable infrastructure for model assessment and post-training experimentation. Responsibilities: * Lead or co-lead technically complex ML engineering projects from initial customer discussions through implementation and delivery * Design build and improve LLM training and post-training pipelines including data ingestion preprocessing fine-tuning evaluation and experiment tracking * Implement and optimize evaluation systems for LLMs and multimodal models including offline benchmarks and task-specific test harnesses * Integrate human-in-the-loop and AI-augmented evaluation signals into model development workflows * Build robust infrastructure and tooling for reproducible experimentation metrics logging and regression monitoring * Diagnose model behavior and pipeline failures including data issues training instability metric inconsistencies and evaluation drift * Collaborate with Language Data Scientists and Applied Research Scientists to translate evaluation frameworks into executable systems * Work closely with customer technical stakeholders to understand goals constraints and success criteria; propose and implement technically sound solutions * Contribute to internal research and platform development including benchmark frameworks evaluation tooling and post-training workflow improvements * Contribute to best practices and standards for LLM training evaluation and quality assurance across projects * Mentor junior engineers and contribute to technical design reviews documentation and engineering rigor across the team * BS/MS/PhD in Computer Science Machine Learning AI Applied Mathematics or a related quantitative technical field (MS/PhD preferred) * 2-3 years of relevant industry or research engineering experience in ML/AI systems * Hands-on experience with LLM training / fine-tuning / post-training including at least one of: * supervised fine-tuning (SFT) * preference optimization (e.g. DPO or related methods) * RLHF / RLAIF-style workflows * task- or domain-adaptation of foundation models * Strong programming skills in Python and experience building production-quality ML code * Experience with modern ML frameworks (e.g. PyTorch JAX TensorFlow) and model libraries/tooling (e.g. Hugging Face ecosystem vLLM distributed training stacks) * Experience designing and implementing evaluation pipelines for LLM/ML systems including metrics computation dataset handling and experiment comparisons * Strong understanding of data pipelines and ML systems engineering including reproducibility observability and debugging * Experience with large-scale distributed ML systems and performance optimization for training/evaluation workloads (GPU/accelerator environments preferred) * Experience with large-scale data processing and workflow orchestration in support of model training/evaluation * Ability to collaborate directly with technical stakeholders including research scientists ML engineers data engineers and customer technical leads * Strong written and verbal communication skills including the ability to explain complex technical tradeoffs to both technical and non-technical audiences Technical Skills ML / LLM Engineering * Experience training fine-tuning and evaluating transformer-based models * Understanding of post-training workflows and model iteration loops * Familiarity with inference-time considerations (latency throughput memory/performance tradeoffs) where relevant to evaluation or deployment Evaluation & Experimentation * Experience implementing automated evaluation pipelines and test harnesses * Experience with experiment tracking versioning and reproducibility practices * Ability to assess metric quality and ensure consistency across model comparisons Software / Data Engineering * Proficiency in Python and strong software engineering fundamentals * Experience with data processing pipelines storage formats and scalable dataset workflows * Familiarity with CI/CD testing and engineering quality practices for ML systems Preferred Skills * Experience with multimodal model training/evaluation (text image/audio/video) * Experience with long-context evaluation and/or model adaptation for long-context tasks * Experience with agentic or multi-turn evaluation harnesses tool-use simulation or interactive environment testing * Experience working in customer-facing technical consulting solutions engineering or applied research delivery * Familiarity with LLM safety alignment robustness or red-teaming evaluation approaches * Contributions to open-source ML/LLM tooling or published technical work in relevant areas How this role partners with the team This role works closely with: * Language Data Scientists who lead human evaluation design language/data process excellence and annotation/synthetic workflows * Applied Research Scientists who lead evaluation methodology benchmarking research and experimental design * Data Engineers / Platform Teams who support scalable data and infrastructure foundations * Customer Technical Stakeholders who rely on Innodata for expert guidance and implementation support in advanced GenAI development Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment banking details or sensitive personal information during the application process. To learn more on how to recognize job scams please visit the Federal Trade Commissions guide at _________

If you are a professional returning to work after a 2 year career break or worked in part time or independent contractor roles this could be the perfect opportunity! reacHIRE is invested in helping professionals return with confidence; providing the resourcesandsupport needed via Program Managers who will help guide and navigate the entire process alongside you. We know the confidence gap and imposter syndrome can get in the way of meeting amazing Returners so please dont hesitate to apply - wed love to hear from you. *Please note that this is a hybrid role and we are unable to consider candidates who would need to relocate for the program. If you are an experienced Software Engineering leader with a passion for designing and delivering big data solutions using cutting edge technologies looking for a collaborative team environment where you will have wealth of opportunities to innovate and learn a career in Application and Platform Enablement (APE) in Enterprise Technology may be right for you! The Application and Platform Enablement (APE) group within Fidelitys Enterprise Technology organization is seeking a Senior Software Engineer to build and maintain large scale event driven this role you will apply a variety of technologies to develop innovative big data solutions. This position is a critical element to delivering Fidelitys promise of creating the best customer experiences in financial services. The Application and Platform Enablement (APE) team withing Enterprise Data & Artificial Intelligence business unit is responsible for assisting in the governance design and delivery of applications utilizing the Event Streaming and Message Queueing platforms. Our vision is to enhance and streamline the onboarding experience while ensuring the highest quality of application readiness for our users. What Youll Contribute Day to Day: • Solution design solving key technical challenges and mentoring the team., • Building and supporting mission critical applications to provide the best customer experience, • Exploring new technology trends and leveraging them to simplify our data ecosystem, • Driving Innovation and leading the team to implement solutions with future thinking, • Collaborating with internal and external teams to deliver technology solutions for the business needs, • Guiding teams to improve development agility and productivity, • Resolving technical roadblocks to the team and mitigating potential risks, • Bachelors or masters Degree in a technology-related field (e.g. Engineering Computer Science etc.) required., • Proven experience in building and maintaining data capabilities and APIs at scale, • Strong understanding of microservices architecture, • Experience in building large-scale software platforms, • 5 years of experience in software design and development, • 2 years of experience in implementing big data solutions in data analytics space, • 2 years of experience in developing big data applications in Cloud (AWS Azure Google Cloud), • Extensive experience in Object Oriented Programming (Java Scala Python) Messaging Technologies (Kafka Kinesis SNS SQS ActiveMQ) Relational and NoSQL databases (DynamoDB Elastic search Graph DB) Stream Processing (Flink Kinesis Analytics Spark) data movement technologies (ETL/ELT) REST APIs and in-memory technologies., • Strong knowledge of developing highly scalable distributed systems using AWS services and open-source technologies., • Experience in deploying Machine Learning models with reinforcement learning in highly scalable environments., • Experience with DevOps Continuous Integration and Continuous Delivery (Maven Jenkins Stash Ansible Docker), • Strong technical design and analysis skill, • Ability to deal with ambiguity and work in fast paced environment, • Ability to think out of box and design end-to-end solutions, • Passion and intellectually curiosity to learn new technologies and business areas, • Deep experience supporting mission critical applications quickly, • Excellent communication skills both through written and verbal channels, • Excellent collaboration skills to work with multiple teams in the organization, • Ability to understand and adapt to changing business priorities and technology advancements

Description WHO WE ARE Goldman Sachs is a leading global investment banking securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations financial institutions governments and high net-worth individuals. Founded in 1869 it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London Bangalore Frankfurt Tokyo Hong Kong and other major financial centres around the world. We are committed to growing our distinctive Culture and holding to our core values which always place our clients interests first. These values are reflected in our Business Principles which emphasise integrity commitment to excellence innovation and teamwork. BUSINESS UNIT OVERVIEW Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation best-in-class engineering and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services processes and activities to streamline monitoring alerting automation and workflows. TEAM OVERVIEW The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firms large-scale compute infrastructure and extensive application estate. Building on strengths in statistical modelling anomaly detection predictive modelling and time-series forecasting we leverage foundational LLM Models to orchestrate multi-agent systems for automated production management services. By unifying classical ML with agentic AI we deliver reliable explainable and cost-efficient operations at scale. ROLE AND RESPONSIBILITIES In this role you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose reason and take actions in production environments to improve productivity and address issues related to production support. What youll do: Build agentic AI systems: Design and implement tool-calling agents that combine retrieval structured reasoning and secure action execution (function calling change orchestration policy enforcement) following MCP protocol. Engineer robust guardrails for safety compliance and least-privilege access. Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines prompt synthesis response validation and self-correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability incident management and deployment systems to enable automated diagnostics runbook execution remediation and post-incident summarization with full traceability. Collaborate directly with users: Partner with production engineers and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability risk reduction and cost; and deliver auditable business-aligned outcomes. Safety reliability and governance: Build validator models adversarial prompts and policy checks into the stack; enforce deterministic fallbacks circuit breakers and rollback strategies; instrument continuous evaluations for usefulness correctness and risk. Scale and performance: Optimize cost and latency via prompt engineering context management caching model routing and distillation; leverage batching streaming and parallel tool-calls to meet stringent SLOs under real-world load. Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness. Raise the bar: Drive design reviews experiment rigor and high-quality engineering practices; mentor peers on agent architectures evaluation methodologies and safe deployment patterns. QUALIFICATIONS A Bachelors degree (Masters/ PhD preferred) in a computational field (Computer Science Applied Mathematics Engineering or in a related quantitative discipline) with 7 years of experience as an applied data scientist / machine learning engineer. ESSENTIAL SKILLS 7 years of software development in one or more languages (Python C/C Go Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3 years designing architecting testing and launching production ML systems including model deployment/serving evaluation and monitoring data processing pipelines and model fine-tuning workflows. Practical experience with Large Language Models (LLMs): API integration prompt engineering finetuning/adaptation and building applications using RAG and tool-using agents (vector retrieval function calling secure tool execution). Understanding of different LLMs both commercial and open source and their capabilities (e.g. OpenAI Gemini Llama Qwen Claude). Solid grasp of applied statistics core ML concepts algorithms and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving ownership and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS) including containerized services (ECS/EKS) serverless (Lambda) data services (S3 DynamoDB Redshift) orchestration (Step Functions) model serving (SageMaker) and infra-as-code (Terraform/CloudFormation). YOUR CAREER Goldman Sachs is a meritocracy where you will be given all the tools to advance your career. At Goldman Sachs you will have access to excellent training programmes designed to improve multiple facets of your skill portfolio. Our in-house training programme Goldman Sachs University offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical business and leadership skills. Salary Range The expected base salary for this New York New York United States-based position is $150000-$250000. In addition you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end. Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings as it is a core part of providing a strong overall employee experience. A summary of these offerings which are generally available to active non-temporary full-time and part-time US employees who work at least 20 hours per week can be found ___

Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2000 customers and operations in 13 cities around the world we are the AI technology solutions provider-of-choice to 4 out of 5 of the worlds biggest technology companies as well as leading companies across financial services insurance technology law and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies a global workforce of subject matter experts and a high-security infrastructure were helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use high-quality platforms. Our global workforce includes over 3000 employees in the United States Canada United Kingdom the Philippines India Sri Lanka Israel and Germany. Were poised for a period of explosive growth over the next few years. About the Role We are seeking a contract Web Designer/Developer who will work closely with the marketing team including our graphic designer who produces layout mockups in InDesign to transform static designs into fully functional web pages. You will help accelerate our landing page production pipeline and ensure our pages meet brand standards load quickly and follow UX best practices. Key Responsibilities * Convert static design mockups (InDesign PDFs images) into responsive web pages using WordPress Elementor. * Build new landing pages for upcoming solutions and campaigns. * Collaborate with marketing stakeholders to refine layout content structure and user experience. * Optimize pages for performance accessibility SEO and mobile responsiveness. * Implement clean modular Elementor templates that can be reused for future pages. * Troubleshoot formatting issues layout inconsistencies and plugin conflicts. * Ensure design fidelity when translating visual assets into web format. * Provide accurate time estimates and deliver work on deadline. * Work with Innodatas existing web developer when necessary to ensure technical compatibility. * 35 years experiencedesigning and building websites or landing pages especially within marketing teams. * Strong expertise in WordPress and Elementor(Pro preferred). * Ability to convert static design files (InDesign Figma Photoshop PDF) into pixel-perfect responsive web pages. * Solid understanding of HTML CSS and front-end best practices (you dont need to be an engineer but must be comfortable editing code when needed). * Experience with UX/UI design layout hierarchy and modern web aesthetics. * Familiarity with SEO fundamentals (meta tags alt text page speed optimization). * Strong communication skills and ability to work asynchronously with designers and marketers. * Highly organized fast and detail-orientedable to juggle multiple landing pages at once. * Portfolio of previous WordPress/Elementor work. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment banking details or sensitive personal information during the application process. To learn more on how to recognize job scams please visit the Federal Trade Commissions guide at _________

Description Leverage your deep technical expertise and leadership to guide cutting-edge projects fostering growth and innovation in a dynamic environment. As a Principal Technical Program Manager in the AI/ML Data Platforms team you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your deep knowledge of technical principles practices and theories is essential for developing innovative solutions while simultaneouslyeffectively managing resources budgets and high-performing teams. Your strong analytical reasoning and adaptability skills will enable you to navigate through ambiguity and change ensuring that technology initiatives align with business goals. With advanced communication and stakeholder management abilities you will foster productive working relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert you will contribute to the development of operational plans and risk management strategies ensuring the highest quality and professionalism in service delivery. Job responsibilities • Develop and implement strategic technical program plans aligning with organizational goals and cross-functional collaboration, • Oversee complex technology project and program execution managing resources budgets and timelines while mitigating risks and addressing roadblocks, • Foster strong relationships with stakeholders clients and cross-functional teams providing direction and defining decision-making procedures for beneficial outcomes, • Guide the selection and implementation of appropriate technologies platforms and software tools leveraging advanced technical fluency, • Champion continuous improvement by identifying process optimization opportunities incorporating best practices and staying abreast of emerging technologies, • Engage influence and drive delivery of multiple AI initiatives with cross-functional cross-product and cross-line of business stakeholders., • Synthesize findings into clear concise customer-focused problem statements recommendations business cases analysis plans of action and risk assessments, • Drive organizational structure efficiency and improvement of operational practices. Required qualifications capabilities and skills • 7 years of experience or equivalent expertise in technical program management leading complex technology projects and programs in large organizations, • Demonstrated proficiency in technical solutions vendor product knowledge managing vendor relations and implementing solutions, • Advanced analytical reasoning skills applying critical thinking and problem-solving techniques to break down business technical and operational objectives, • Proven ability in leading through change managing dependencies and controlling change in high-pressure shifting environments, • Advanced expertise in stakeholder management establishing productive relationships and driving beneficial outcomes aligned with firm objectives Preferred qualifications capabilities and skills • Proven ability to navigate tight deadlines organize and prioritize work while effectively managing the dynamic landscape of AI, • Experience or exposure in the AI ML Data ecosystem space, • Expertise on the AI and data product lifecycle spanning from data discovery data processing model development model deployment and model monitoring, • Microsoft (Azure AI Engineer Associate) Google (Professional Machine Learning Engineer) Amazon (AWS Certified AI Practitioner) AWS Cloud Practitioner Certification or Microsoft Azure Fundamentals certifications, • Experience with controls compliance and audit Required Experience: Manager Key Skills Project Management Methodology,Project / Program Management,Program Management,Management Experience,Microsoft Powerpoint,Project Management,Microsoft Project,Budgeting,DoD Experience,Leadership Experience,Supervising Experience,Contracts Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 190000 - 260000

Join Mercor's Machine Learning Engineer Network** What you'll get: - Matched with companies actively hiring for Machine Learning Engineer roles - Flexible work arrangements (full-time, part-time, or project-based) - Competitive compensation - AI-powered matching that surfaces opportunities to yo

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

AI/Machine Learning Engineer, Manager Consultant. AI, Data Science, and/or Machine Learning.

Strong knowledge of natural language processing and deep learning techniques. As a Senior AI and Machine Learning Engineer at EY, you will play a pivotal role in transforming how businesses harness artificial intelligence. This dynamic position allows you to engage in continuous learning and develop

This position is essential for developing strategies that enhance client service delivery and product optimization, using cutting-edge machine learning tools and techniques to drive data-driven decision-making within the organization. Design And Implement Advanced Machine Learning Algorithms Using T

Experience with agentic telemetry and evaluation services.

Bachelor's degree in computer science/Engineering, data science, or a related field. At least five plus years' experience as a machine learning engineer, deploying models in production. Expertise in GenAI frameworks, prompt engineering, and model serving.

AI/Machine Learning Engineer, Senior Consultant.

AI/ML applications and LLM, JAVA Spark.LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS, Pinecone, ChromaDB).Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, Generative AI, and Big Data Engineering.Proven track record in lea

Extensive software engineering experience with strong working experience as a Machine Learning Engineer. Bachelor's degree in computer science, computer engineering, or a related engineering field. About the job Machine Learning Engineer.

Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this opportunity but your experience doesn't align perfectly with every qualific

Extensive software engineering experience with a strong working experience as a Machine Learning Engineer. Bachelor's degree in computer science, computer engineering, or a related engineering field. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine lea

We are looking for an experienced AIML Engineer with strong hands-on expertise in Generative AI, LLM systems, Machine Learning, Data Engineering, and MLOps.

Job DescriptionJob Description Summary – AI Optimization Engineer (Onsite, Jersey City, NJ) We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing, deploying, and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning, deep learning frameworks, model optimization techniques, and scalable AI infrastructure. The engineer will work closely with AI, infrastructure, and DevOps teams to design efficient model training and inference pipelines, implement SLURM-based workload orchestration, and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning, quantization, and knowledge distillation, managing inference workflows using Triton Inference Server, and monitoring system performance using Prometheus and Grafana. This role requires hands-on experience with HPC environments, GPU clusters, containerization technologies, and Linux system administration, along with strong knowledge of machine learning algorithms, deep learning architectures, and modern AI development tools. Experience with cloud platforms, vector embeddings, and enterprise-scale AI deployments is highly preferred. Core Responsibilities * Design and optimize AI/ML workloads on GPU-based HPC clusters. * Deploy and manage large language models (LLMs) in scalable production environments. * Implement model optimization techniques including pruning, quantization, and knowledge distillation. * Develop and manage automated job scheduling using SLURM with REST and Flask APIs. * Deploy ML models using containerized microservices architectures. * Monitor system performance using Prometheus and Grafana. * Optimize inference pipelines using Triton Inference Server and TRTLLM. * Conduct exploratory data analysis and model performance evaluation. * Collaborate with infrastructure and ML teams to improve scalability and efficiency. Skills Required The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning, including NumPy, scikit-learn, TensorFlow, PyTorch, and Keras, with hands-on knowledge of supervised and unsupervised learning, neural networks, transformer-based models, NLP, CNNs, and Generative AI concepts. The role requires expertise in AI infrastructure and optimization, including HPC environments, GPU clusters, SLURM workload management, Triton Inference Server, TRTLLM, and model optimization techniques such as pruning, quantization, and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker, Kubernetes, MLFlow, Terraform, Jenkins, GitHub, and HuggingFace, along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development, Linux administration (RHEL/CentOS), container runtimes like Enroot, Pyxis, and Podman, and experience with data analysis and visualization tools such as Plotly, Seaborn, and Matplotlib.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food & Beverage industries. Our national scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site. We are seeking an Senior Application Engineer to be responsible for initial consultation with the customer, as well as estimating and proposal development for industrial automation solutions including food & beverage, life sciences, and chemical industries. The projects span the range of process control and machine control automation applications. You will also own and develop methods, tools, and processes in estimating and proposal development for the entire enterprise. You will: • Meet with customers to review the technical scope and engineering requirements and work with local E Tech Group Business Development Managers in the sales pursuit process., • Prepare work to be estimated by gathering proposals, blueprints, specifications, and related documents., • Quote normal Control Panel / PLC / HMI projects without much assistance, calling in engineering help only for niche cases., • Identify labor, material, and time requirements by studying proposals, blueprints, specifications, and related documents., • Compute costs by analyzing labor, material, and time requirements., • Resolve discrepancies by collecting and analyzing information., • Present prepared estimate by assembling and displaying numerical and descriptive information., • Prepare special reports by collecting, analyzing, and summarizing information and trends., • Maintain cost database by entering and backing up data., • Maintain technical knowledge by attending educational workshops and reviewing technical publications., • Contribute to team effort by accomplishing related results as needed., • Bachelor's degree in Engineering or equivalent experience and educational background, • 5+ years of Industrial Automation experience directly related to design, controls, programming, and electrical engineering, • Past experience of extensive use of the Company's Methods, Tools, and Process specific to estimating and proposal management standards., • Understanding of ERP / Project Costing Systems and parametric estimation tools., • Extensive understand of customer plans, specifications, technical documentation as well as RFQ documentation, • Strong written and verbal communication skills, • A DNA comprised of collaboration and teamwork Benefits & Perks: • 401k + match + prompt enrollment. E Tech Group employees are 100% vested upon entry., • Prompt enrollment into Medical, Dental, and Vision benefits., • Generous paid time off that includes full paid vacation, paid holidays, paid family leave and personal/sick time off.

Job Description Machine Learning Engineer / AI Engineer Location: Newark, NJ, Onsite, Full Time Compensation: $120,000–$180,000+ (DOE) About the Role We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy intelligent systems that power next-generation AI-driven products. This role is ideal for a hands-on builder who understands both the science and the engineering behind machine learning. You will work closely with product, engineering, and leadership teams to turn business problems into scalable AI solutions. You won't just experiment — you will ship production-ready models. Key Responsibilities Model Development & Deployment • Design, train, and optimize machine learning models for real-world applications, • Deploy models into scalable production environments, • Build pipelines for data ingestion, preprocessing, training, and evaluation, • Monitor model performance and iterate based on real-world usage AI & Data Engineering • Work with structured and unstructured data sets, • Implement best practices for feature engineering and model selection, • Optimize model accuracy, performance, and reliability, • Collaborate with data engineers to ensure clean and accessible datasets Production & Scalability • Build robust APIs and services around ML models, • Ensure systems are scalable, secure, and maintainable, • Balance experimentation with production stability, • Address model drift and long-term model lifecycle management Cross-Functional Collaboration • Partner with product and engineering teams to define requirements, • Translate business objectives into ML strategies, • Communicate technical findings clearly to non-technical stakeholders, • Contribute to roadmap planning for AI-driven features Required Experience • 3+ years of hands-on machine learning engineering experience, • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn), • Experience deploying ML models into production environments, • Solid understanding of statistics, probability, and optimization techniques, • Experience with cloud platforms (AWS, GCP, or Azure), • Experience building data pipelines and working with large datasets Preferred Experience • Experience with NLP, LLMs, or generative AI (e.g., ChatGPT-style systems), • Experience fine-tuning or integrating large language models, • Background in AI product development within SaaS environments, • Experience with MLOps and CI/CD pipelines, • Experience working in fast-paced startup environments What Success Looks Like • Production-ready ML systems deployed successfully, • Measurable impact on product performance or revenue, • Clear documentation and maintainable model pipelines, • Strong collaboration across engineering and product teams, • Continuous improvement of model accuracy and efficiency Who This Role Is For • A hands-on technical builder who enjoys solving complex problems, • Someone comfortable owning projects from research through deployment, • A pragmatic engineer who values execution over theory, • A collaborative contributor who thrives in growth environments If you are passionate about building scalable AI systems and shipping meaningful machine learning products, we would love to hear from you. Email Resume: Apply Online: Refer a friend, get up to $1000!

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. Requirements • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Lead the migration of legacy data systems to modern cloud-based architectures., • Develop and maintain CI/CD pipelines for data workflows., • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Company Overview: NRS is a leading provider of transportation & supply chain solutions. As a family-owned and operated company, NRS has delivered smart logistics solutions to numerous Fortune 500 companies spanning over 70 years. Whether it’s NRT, Keystone, Keystone Fresh, or Keystone Capacity, our innovative energy drives us towards new and valuable solutions for our clients, even as we continuously grow and strengthen our network. We are dedicated to creating a culture that empowers the individual and offers our associates the opportunity to apply their unique skill to the challenges facing our clients. In the office, the warehouse, or on the road, it is this commitment to our innovative spirit that unites us in common mission to push boundaries in the logistics industry. Job Overview: As a member of the Data & Analytics team within the Information Technology organization, reporting to the Manager of Data & Analytics, the Data Platform Engineer is directly responsible for building, operating, and automating internal platforms that abstract infrastructure, tooling, and operational complexity into reliable, self-service capabilities for data engineers, analysts, and data scientists. This individual will play a critical role in scaling enterprise data platforms and tools, standardizing CI/CD processes, ML Ops and deployment frameworks, monitoring and optimizing systems to ensure performance and reduce costs, as well as streamlining data management activities for our data owners and stewards, such as data quality and metadata management automations within the platform. Why this job’s a big deal: As part of a small Data and Analytics team you will have the opportunity to perform a wide range of tasks and manage a modern data technology stack including Snowflake on AWS, Fivetran, dbt, Github, Power BI, and related integrations. You will be the point person for the configuration and operation of all the data platforms and tools, responsible for security administration, cost management, integration, monitoring, resiliency, DataOps processes, MLOps processes, and automations using Python and SQL scripts. You’ll also wear multiple hats on the team, backing up team members in their responsibilities including data engineering tasks and helping translate business needs into technical solutions consistent with enterprise architecture best practices. We value ownership and accountability while building our external products to be the best in the world for our customers. We need an innovator that will solve complex technical problems, drive new data initiatives and introduce positive change in a highly engaged, collaborative environment, helping us leverage the value of data for our customers, partners, and employees. Job Description: Lead, Manage, and hold Accountable • Support and promote the company values, culture, and HR processes, • Establish technical standards, best practices, and architectural guidelines for data and analytics, • Provide thought leadership on emerging technologies, tools, and methodologies in data engineering, platform engineering, and analytics., • Mentor and develop team members in good data engineering principles and platform features, fostering technical growth and career development., • Ensure adherence to data governance, security, and compliance policies across all data and platform initiatives., • Architect and maintain enterprise-scale data pipelines, ingestion, storage, and transformation processes using Fivetran, dbt, and Github., • Implement and enforce data quality, lineage, observability, and certification processes with the platform., • Integrate metadata from across the platform to support data quality, metadata management, and end-to-end observability., • Integrate and automate activities and processes to help data architects and owners manage security approvals, retention, master data, metadata, and reference data policies., • Oversee deployment and operationalization of analytics, reporting, and machine learning platforms., • Monitor, support, and troubleshoot issues with data platforms, tools, connections, pipelines, security, and data users., • Identify opportunities to leverage data and analytics for business impact and operational efficiency., • Design and deliver scalable, reusable data products and platforms that enable self-service analytics., • Prototype and evaluate emerging technologies, frameworks, and tools for adoption in enterprise data platforms., • Automate manual processes and standardize workflows to reduce friction and improve agility., • Collaborate with business and team to understand data needs, translate requirements, and prioritize initiatives., • Serve as a trusted advisor for analytics strategy and platform capabilities., • Communicate progress, challenges, and risks to leadership and business stakeholders in a clear and actionable manner., • Foster strong partnerships with cross-functional teams, including IT, finance, and operations., • Advocate for data-driven decision-making across the organization., • In the first 15 months:, • Decrease data product development time by 25% through automation of manual processes, • Automate platform administration tasks by 80% through integrations and stored procedures, • Decrease data ingestion and compute costs by 20% through optimization and improved ingestion processes, • Automate capture of 10 data quality metrics in Snowflake for all data products, • Standardize 7 data quality test package in dbt for data engineers to add to all data products, • Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience., • 5+ years of experience in platform engineering, database administration, or related technical roles., • 3+ years of experience in data engineering, • 5+ years of Python., • 5+ years of SQL., • 2+ years of dbt, with demonstrated ability to design modular, decoupled, and reusable systems using sound software engineering principles., • 2+ years of AWS experience, including Lambda, S3, Step Functions, Glue, Athena, SNS, EventBridge, or other relevant data-related services., • Exposure to machine learning platforms or advanced analytics use cases (preferred)., • Familiarity with Power BI tenant administration and security (preferred)., • Design and operate enterprise-scale data platforms (data warehouses, lakehouses, or hybrid architectures); proficiency with Snowflake is a plus., • Build self-service platforms, reusable frameworks, or internal developer tools., • Strong understanding of distributed systems, columnar performance tuning, and scalability considerations., • Familiarity with security best practices, including IAM, secrets management, and least-privileged access., • Conceptual understanding of networking and server infrastructure (enough to integrate with networking/infrastructure teams)., • Excellent written documentation and code commenting., • Excellent verbal communication and interpersonal skills., • Understanding of data governance and management principles., • Continuous learning mindset; stays updated with emerging data analytics technologies and techniques. NRS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #NRSIND

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Director of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description Electrical, Controls Engineer - Industrial Electro-Mechanical Machinery Industry Focus: Industrial Machinery I Electromechanical Equipment I Custom Automation Systems Robotics I Industrial Controls I Food and Beverage Manufacturing I Packaging Equipment I Water and Wastewater Treatment I Process Equipment I OEM Machine Building We are currently seeking to identify (2) Electrical Controls Engineers to join a well-established and growing industrial equipment manufacturer with over 50 years of engineering excellence. One opportunity is ideal for a junior to mid-level candidate with at least 2+ years of relevant experience, and the other is targeted for a senior-level engineer with more years of hands-on experience in electrical design, programming, controls, and industrial automation. This is your chance to join a team that builds large-scale electromechanical systems from concept through completion. From food production lines to custom process and water treatment equipment, you'll be working on machinery that makes a real-world impact. Responsibilities: · Design, develop, and program industrial electrical control systems to meet engineering and client requirements · Create electrical schematics, wiring diagrams, and panel layouts using AutoCAD Electrical or similar design software · Specify, select, and configure control system components such as PLCs, VFDs, relays, sensors, and breakers · Program PLCs and HMIs (Allen-Bradley, Siemens, or similar platforms preferred) · Layout and design control panels and motor control centers (MCCs) · Perform validation testing and troubleshoot electrical systems during build and final assembly · Collaborate closely with mechanical engineers, software engineers, and production teams to ensure full integration · Provide technical documentation including BOMs, manuals, wiring lists, and startup procedures · Travel as needed for commissioning and system validation (minimal and planned in advance) · Stay current with evolving industry technology, best practices, and safety standards Qualifications: We are hiring for two experience levels. Candidates must meet the criteria for one of the following profiles: Junior to Mid-Level Role: · Minimum 2 years of experience in electrical controls, panel design, or related engineering environment · Experience with AutoCAD Electrical or similar drafting tools · Working knowledge of industrial components and safety regulations · Basic PLC programming knowledge or exposure to automation software · Strong interest in hands-on engineering, testing, and troubleshooting · Bachelor's degree in Electrical Engineering or equivalent hands-on experience Senior-Level Role: · Experience in electrical controls and industrial automation · Proficiency in AutoCAD Electrical and strong PLC/HMI programming experience · Deep understanding of UL, NEC, NFPA 70E, and electrical safety standards · Demonstrated success leading projects or contributing to complex custom machinery builds · Ability to mentor junior team members and drive design improvements · Background in electromechanical system design and manufacturing support What Makes This Opportunity Unique: · Privately owned and financially strong company with over 50 years of proven success · All engineering and manufacturing is done in-house at our US-based facilities · Recession-resistant with projects in food processing, water treatment, packaging, and more · Work directly on high-impact custom systems from design to completion · Short lead times and an integrated design-build process · Access to a seasoned engineering team for mentorship and collaboration · Competitive salary structure with performance bonuses · Opportunities for growth into technical leadership or project management · Continued access to learning and development in electrical, automation, and mechanical engineering · Team-focused culture that values practical problem-solving, quality, and innovation Traits That Set You Up for Success: · Detail-oriented and self-driven with a strong sense of accountability · Hands-on mindset and curiosity to understand how systems work · Enjoy working on one-off and custom systems that challenge your engineering creativity · Collaborative and open communicator, ready to share and receive feedback · Willing to dive into troubleshooting and help bring machines across the finish line · Honest, reliable, and committed to continuous improvement Take the Next Step in Your Career: If you are passionate about industrial electrical systems and automation, whether you are building your skills or bringing a wealth of experience, we want to hear from you. These roles offer the chance to work on meaningful projects with a stable, growing company where your contributions matter every day. Apply now to explore how you can be a part of building the next generation of industrial automation and electromechanical systems. Equal Opportunity Commitment: We and our client are equal opportunity employers and welcome all qualified applicants regardless of race, religion, gender, age, disability, veteran status, or any other protected classification.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job Description Be Part Of A High-Performing Risk Technology Team: This opportunity sits within a leading global financial institution’s Risk Technology division, supporting enterprise-scale initiatives across market and credit risk platforms. The team operates at the intersection of advanced analytics, artificial intelligence, and large-scale data engineering, enabling smarter decision-making and operational efficiency across the organization. The Risk Technology group is known for delivering secure, scalable, and forward-thinking solutions within a highly regulated financial environment. With a focus on innovation and modernization, the team is actively integrating generative AI, conversational AI agents, and intelligent automation into enterprise systems. The environment is collaborative, fast-paced, and deeply technical—bringing together AI engineers, data engineers, application developers, and risk stakeholders to build next-generation AI capabilities on Azure. What’s In Store For You: • Exposure to enterprise-grade AI initiatives within a global banking environment., • Opportunity to design and deploy cutting-edge generative AI and conversational AI solutions., • Collaboration with cross-functional teams across Risk, Engineering, and Application Development., • Design, develop, and deploy intelligent conversational AI solutions leveraging Azure AI technologies and Databricks., • Build and manage enterprise-grade AI agents to support automation and advanced conversational use cases., • Develop reusable AI components and pipelines within Azure AI Studio and Databricks for scalable deployment., • Integrate AI services into web and enterprise applications using Python frameworks such as FastAPI, Django, and Flask., • Create secure RESTful APIs, async workers, and SDK-based integrations for AI services., • Architect and maintain secure MLOps pipelines including model registry controls, deployment security, and runtime monitoring., • Monitor and optimize LLM and NLP model performance for reliability, scalability, and accuracy., • Ensure compliance with data privacy, security, and enterprise governance standards., • 10+ years of experience in software engineering, AI engineering, or machine learning engineering roles., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • Proven hands-on experience with Azure AI services including Azure OpenAI, Azure AI Studio, Azure Bot Service, Cognitive Services, and Copilot., • Strong experience with Databricks (including Databricks Genie) and enterprise AI agent development., • Deep understanding of NLP, LLM architectures, prompt engineering, and model evaluation techniques., • Strong Python programming skills with experience in FastAPI, Django, or Flask., • Experience building secure REST APIs and integrating AI services into enterprise applications., • Expertise in MLOps including CI/CD, model deployment, monitoring, and runtime security in Azure environments., • Experience with Azure Machine Learning and Azure DevOps/GitHub CI/CD pipelines., • Familiarity with MCP for secure AI integration with external APIs and tools., • Microsoft Certified: Azure AI Engineer Associate (or equivalent)., • Databricks Certified: Generative AI Engineer Associate (or equivalent)., • Experience with prompt lifecycle management and AI model governance., • Experience working in financial services or other regulated industries., • Strong communication skills and ability to operate in cross-functional agile teams.

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