Architect / Principal, AI ML Engineer

📋 Description

• Define end-to-end AI/ML and Gen AI architecture including data pipelines and MLOps.
• Advise clients on AI/ML architectures; lead solution design and client interactions.
• Architect scalable solutions using Azure ML, AWS SageMaker, or Vertex AI.
• Lead Gen AI integration into enterprise apps via APIs (OpenAI, Gemini) or LLama.
• Design retrieval-augmented generation (RAG) with vector DBs like Pinecone/FAISS.
• Guide teams on MLOps: CI/CD, model versioning, monitoring, retraining.

🎯 Requirements

• Master’s in CS/Engineering/Math with 15+ years in ML/AI; PhD desirable.
• Strong AI architecture patterns: RAG, Agent AI, MCP, prompt orchestration.
• Python and ML libraries: scikit-learn, XGBoost, PyTorch, TensorFlow.
• Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, fine-tuning.
• Enterprise AI with MLOps (MLflow, Kubeflow, SageMaker Pipelines).
• APIs, microservices, and containerization (Docker, Kubernetes).

🎁 Benefits

• Flexible remote-first work environment.
• Global team collaboration with English-language work culture.
• Wellbeing programs including mental health plans and generous time off.
• Accelerate career growth and development opportunities.
• Equal opportunity employer with commitment to diversity.