Evaluates the quality and correctness of AI-assisted software-development traces used to train and evaluate a frontier AI lab's models. You assess end-to-end coding sessions produced with AI-assisted developer tools — judging correctness, workflow soundness, and reasoning — and provide clear, rubric-based written feedback.
Senior IAM Engineer at AbbVie leads enterprise IAM strategy during M&A transitions, designing identity federation, migrating users and applications to standardized platforms, and serving as the primary liaison between the Identity team and technical/business stakeholders.
A 6-month paid internship supporting a global Quality team at Stryker to turn customer feedback and quality data into concrete process improvements using data analytics, Lean methodology, and digital workflows. The role spans MedTech quality analytics, dashboard/report creation, and cross-functional collaboration across Quality, R&D, Manufacturing, and Regulatory Affairs.
Business Analyst in Esri’s Enterprise Business Intelligence team, Redlands, CA. Elicits requirements, produces project artifacts (use cases, data models, RACI matrices), designs data visuals, and builds dashboards and reports using Power BI. Core technologies: Power BI, SQL, Visio, SharePoint, Microsoft Office 365, Lucid charts.
Principal Software Engineer leading Parametric’s GenAI platform, applying deep knowledge of ML, NLP, transformers, and LLMs to build and operationalize generative AI solutions on a cloud-based platform serving financial services clients.
Senior Product Owner owning Voice Intelligence capabilities across Stryker's Smart Care platform — translating caregiver communication needs into product plans spanning voice workflows, speech tech, and conversational AI for clinical environments.
Assistant Director - QA Engineer at Moody's in Brussels, responsible for designing and implementing automated testing strategies across web applications and APIs, including end-to-end, API, and performance/load testing. The role leverages Cypress, TypeScript, Postman, Jest, and Jira, with preferred familiarity with AWS serverless services and AI concepts.
Java Software Engineer at Morgan Stanley's Firm Risk Management team, modernizing the Market Risk platform while handling BAU requests and production support. Core technologies: Java, Spring, RDBMS, JUnit, Shell/Python.
AI Solutions Engineer at Expertshub.ai who owns end-to-end feature development, collaborates with product managers and designers, writes scalable code, mentors junior developers, and stays current on AI/ML trends.
QA Automation Engineer drives quality assurance processes by building automated test scripts, integrating testing early in the SDLC, and collaborating across teams to ensure high-quality software delivery. Core technologies include Selenium, Gherkin, API and UI automation, and CI/CD pipelines.
Senior freelance AI/ML architect in Bengaluru who translates high-level objectives into actionable programs, sponsors proofs of concept, and maintains governance standards across AI initiatives. Core technologies: AI/ML solutions, strategic delivery, architectural design.
ML Engineer on an ML Architect project for an IT company, designing and implementing ML models, collaborating with data scientists and software engineers, and maintaining existing models.
Data Analyst combines business analysis, data profiling, and source-to-target mapping for projects built on the Teradata Financial Services Logical Data Model (FSLDM). The role works across business stakeholders, data architects, and ETL teams to translate banking/financial requirements into analytics-ready datasets.
The AI Architect designs, builds, and deploys production-grade Generative AI systems on AWS, including RAG pipelines, semantic search, and LLM-powered applications used by enterprise users. Core technologies include LLMs (GPT, Claude, Mixtral), vector databases (FAISS, OpenSearch, Pinecone), AWS AI/ML services (Bedrock, SageMaker), and frameworks like LangChain and FastAPI.
A Machine Learning Engineer working in a hybrid freelance role in Pune, India, implementing ML solutions under mentorship from senior developers on a Procure to Pay project. The role focuses on clean, maintainable code, basic validations, and collaboration with cross-functional teams using Python, Scikit-learn, NumPy, Pandas, and Jupyter Notebooks.
AI/ML Engineer at Expertshub.ai building generative AI models, NLP applications, and LLMs using PyTorch, Hugging Face, and transformer frameworks.
AI/ML Intern supporting LLM training, fine-tuning, and RESTful API deployment using Hugging Face and PyTorch.
Applied AI Scientist at Expertshub.ai develops and deploys advanced ML models to enhance products and services, leveraging Python, cloud platforms, and NLP frameworks.
ML Engineers build, train, and deploy ML models using Python, TensorFlow/PyTorch, and cloud ML services (AWS/GCP/Azure) on large datasets. They collaborate across teams to integrate models into production pipelines and optimize performance.
An AI consultant who leads design, training, and deployment of ML/LLM/SLM models, builds RAG pipelines and custom agents, and ensures enterprise-grade cloud deployment with MLOps.
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