AI ML Architect

Role & responsibilities

Computer Science, Data Science, AI, Machine Learning, or related field

• 10+ years of experience in

  AI/ML

  , with at least

  4 years in a leadership role

  (e.g., AI/ML Lead, Principal Data Scientist, ML Architect).
• Proven experience building and deploying

  production-grade AI/ML systems

  in

  cloud environments (AWS, Azure)

  .
• Deep expertise in:

• Python, SQL, REST APIs, Git, Docker, Kubernetes

• Machine Learning (Supervised/Unsupervised, Deep Learning, NLP, Computer Vision)

• MLOps tools

  : MLflow, Kubeflow, SageMaker, Databricks, CI/CD, monitoring (Prometheus, Datadog)

• LLMs & GenAI

  : Fine-tuning, prompt engineering, RAG, evaluation frameworks
• Experience working with

  global clients

  in BFS, Healthcare, Insurance, Publishing, or Enterprise Software.