Requirements :

- Master's degree or equivalent experience in Machine Learning.

- 5+ years of industry experience in ML, software engineering, and data engineering.

- Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.

- Strong programming skills in Python and JavaScript.

- Hands-on experience with ML Ops practices.

- Ability to work with research and product teams.

- Excellent problem-solving skills and a track record of innovation.

- Passion for learning and applying the latest technological advancements.

Technical Requirements :

- LLM and ML: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama.

- LLMOps: MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI.

- Databases: MongoDB, PostgreSQL, Pinecone, ChromDB.

- Cloud: AWS, Azure.

- DevOps: Kubernetes, Docker.

- Languages: Python, SQL, JavaScript.

- Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert.