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Senior Data scientist (SberAds)
Builds and improves ML models for real-time ad auctions, including user identification, bid prediction, and ad relevance scoring using Python, PySpark, and Go.
[ML Application] MLOps Engineer
Build and operate MLOps pipelines for enterprise AI that runs on-prem and air-gapped factory floors, handling model training, versioning, serving, monitoring, and safe rollouts across GPU and edge devices.
AI Engineer
Design, train, and deploy ML models and data pipelines using PyTorch/TensorFlow and MLOps tools in a full lifecycle workflow.
Senior Machine Learning Engineer
Build and deploy ML models for edge and bare-metal devices, focusing on sensor fusion (audio, video, radio) to detect drones in production environments using Python, PyTorch/TensorFlow, and cloud/AWS/GCP.
Senior Data scientist (SberAds)
Senior Data Scientist at SberAds (Sberbank) builds and improves predictive models for real-time online advertising auctions, using Python, Spark, and other technologies to optimize ad relevance and platform performance.
Data Scientist
Build and deploy AI models for Ubisoft games, focusing on player personalization, recommendation engines, and decisioning systems to boost engagement and retention.
Machine Learning Engineer
Build and deploy AI/ML models and data pipelines to tackle public-health, environmental and forensic challenges for New Zealand, using Python/R, MLOps and cloud/Azure tooling.
Lead Consultant - Snowflake and Cortex AI Engineer
Lead a team to build Snowflake-native AI platforms and autonomous agents that power data-driven decisions in rare disease commercial operations, using Cortex AI and Snowpark for production-grade ML and agent systems.
Senior Software Engineer - AI
Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
Staff AIML Solutions Engineer
Senior role defining and delivering AI/ML solutions for an auto-lending fintech, owning end-to-end product lifecycle from problem framing to launch and KPI tracking.
Staff AI/ML Engineer (Large Language Model)
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Full-Stack AI Engineer
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
AI/Machine Learning Engineer
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Sr Data Scientist- Generative AI
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Full-Stack AI Engineer
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Technical Architect - ML
Design and build enterprise-grade MLOps/LLMOps platforms on AWS SageMaker and EKS, automating model lifecycle from training to monitoring and ensuring scalable, secure AI deployments.
Senior Machine Learning Engineer, AI Studio
Build and deploy AI/ML systems for drug discovery and patient care, including GenAI, RAG, and agents, using Python, cloud platforms, and MLOps/LLMOps pipelines.
Senior Data Scientist
Senior Data Scientist builds and deploys ML and LLM-powered apps for healthcare clients, turning EHR, claims and clinical data into predictive models and AI workflows that improve patient outcomes and operations.