AI ML Architect

Role & responsibilities

Bachelors or Master’s degree in 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.