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Principal AI Data Engineer
Designs and builds enterprise-scale AI data pipelines using Databricks, Delta Lake, and Azure OpenAI to deploy GenAI, RAG, and Agentic AI solutions in Python and SQL.
AI Architect
Designs and implements enterprise-grade GenAI and Agentic AI solutions using LLMs, vector databases, and cloud platforms for client engagements.
Customer Solution Architect
Senior role designing and deploying AI solutions using graph data and GraphRAG for enterprise customers, from discovery to production. Core tech includes Python, LLMs, vector/graph databases, and cloud infrastructure.
Data Scientist
Senior Data Scientist builds, deploys, and maintains ML/DL models in production, focusing on reliability, monitoring, and continuous improvement for industrial AI solutions.
Data Scientist
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
AI Solution Architect
Design and implement scalable AI systems for manufacturing, integrating predictive analytics, LLMs, and MLOps to optimize production flows and decision-making.
Data Scientist (French Speaking)
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
Data Scientist
Build and deploy ML models (LightGBM, PyTorch) and pipelines for enterprise demand forecasting, integrating insights into Anaplan’s AI-driven planning platform.
Senior AI/ML engineer
Build and scale Flo’s GenAI platform: LLM judges, fine-tuning pipelines, evaluation frameworks, and real-time personalization for a women’s health app used by 80M+ monthly users.
AI Enterprise Architect
Design and lead end-to-end AI infrastructure, from GPU clusters and high-performance networking to MLOps and governance frameworks, ensuring scalable, compliant, and production-ready AI systems.
Senior AI Engineer
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
2027 Shanghai Machine Learning Engineer Summer Internship
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
Senior Full-Stack Developer AI Engineer Data Scientist (mwd)
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Junior AI/ML Engineer
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure-based data and ML pipelines using Databricks, PySpark, and MLOps tools to support analytics and AI deployments for fintech and public-sector clients.
Senior Data Platform Engineer (Databricks)
Architect and build cloud-agnostic data platforms using Databricks, designing scalable pipelines and optimizing performance across AWS, Azure, and GCP for enterprise clients.
Data Science - Senior Architect (Healthcare & Life Sciences)
Architect and lead enterprise AI solutions for healthcare and life sciences, including GenAI/RAG systems, multi-agent workflows, and MLOps pipelines.
Python Software Engineer, AI/ML Integration & AI Agents
Builds Python backend services and AI agents that integrate ML models into production on embedded Linux devices, optimizing for performance and resource constraints.
MLOps Engineer (Azure & Databricks)
Build and maintain a production-grade ML platform on Azure Databricks: automate pipelines, CI/CD, model lifecycle, and observability for thousands of time-series forecasts in HVAC.
Senior Data Scientist (AI Safety)
Lead a team building AI-safety guardrails for Sber’s enterprise agent ecosystem, tuning LLMs and deploying detectors against prompt injections, toxicity, and hallucinations using vLLM, LangChain, and PyTorch.