Position Details
About this role
Senior AI/ML engineer or data scientist role focused on building and deploying end-to-end ML pipelines, RAG-based architectures, and production-grade AI systems across cloud platforms.
Key Responsibilities
- Develop end-to-end ML pipelines
- Build agentic AI systems with tool-calling
- Implement RAG pipelines with document ingestion and vector DB
- Deploy models with CI/CD
- Collaborate with Product/DevOps
- Model governance and monitoring
Technical Overview
Stack includes Python, PyTorch, TensorFlow; LangChain/LangGraph; LLMs and embeddings; vector search; cloud platforms (Azure, AWS, GCP); MLOps; Docker/Kubernetes.
Ideal Candidate
The ideal candidate is a senior data scientist/AI engineer with 7-8 years of hands-on experience implementing production-ready ML systems, strong proficiency in Python and modern ML frameworks, and hands-on experience with cloud AI services and RAG-based architectures.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 7 years of AI/ML experience, Lack of hands-on production ML deployment experience, No cloud AI service experience
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