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Role:Senior ML Engineer
Duration: 6 months with extension
Location : Remote
Core Skills / Stack
• 8+ years of experience
• Python (excellent knowledge required) -> Main Libraries: Pandas, Numpy, Matplotlib, Scikit Learn, Pydantic
• SQL
• Snowflake + Snowpark
• Experience in Machine Learning applications and pipelines
• GitHub engineering practices (PRs, branching, Actions)
• Testing + CI/CD mindset (unit/integration tests, automated checks)
• Config-driven scalable architecture (reusable components, toolkit/SDK software development)
• Strong documentation + cross-team collaboration skills
Optional (preferable to have):
• Dataiku DSS platform (flows, automation, industrialization)
• MLflow / MLOps experience
• Experience in Optimization methodologies and implementation (eg. cvxpy, Gurobi)
• Docker
• PyTorch
• LightGBM
Job ID: 147484259
Skills:
Azure Machine Learning, Pytorch, Tensorflow, Python, Grafana, Docker, Jenkins, MLFlow, Gitlab CI, DVC, LakeFs
Skills:
Tensorflow, AWS, Pytorch, Python, Scipy, Neo4j, Nlp, Azure AI Foundry, LlamaIndex, scikit-learn, OpenVINO, Hugging Face, Weaviate, LangChain, anomaly detection, Pinecone
Skills:
Kubernetes, MLops, AWS, Python, Azure, Docker, Gcp, LLMs, Transformers, LlamaIndex, Hugging Face, AI agents, vector databases, embeddings, RAG, LangChain, semantic search, prompt engineering, GenAI frameworks
Skills:
S3, PostgreSQL, Tensorflow, Lambda, Pytorch, Ec2, Javascript, Docker, XGBoost, Python, AWS, Websocket, Graphql, Node.js, Redis, REST, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, Pinecone, TorchScript, ONNX, Stable Diffusion, Detectron2, controlnet, SageMaker, YOLO, Diffusers
Skills:
DataFlow, Bitbucket, BigQuery, Kubernetes, Docker, Gcp, Jenkins, Vertex AI, Cloud Build, TFX, GKE, Vertex AI Pipelines, Kubeflow Pipelines, Cloud Functions
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