Principal AIML Architect

Senior Software Engineer – AI/ML & GenAI

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Must Have Skills

Core

• 10–15 years of experience in software engineering.
• Strong programming skills in Python (mandatory).
• Experience in building production-grade ML systems (not just notebooks).

AI/ML & GenAI

• Hands-on experience with:
  • Data Analysis and curation
  • Feature engineering
  • Statistical model training, evaluation & hyperparameter tuning
  • LLMs / GenAI applications
  • RAG pipeline design
  • Prompt engineering & model tuning
• Experience with frameworks like TensorFlow, PyTorch, Sci-kit, LangChain, LlamaIndex, or similar.
• Understanding of embeddings, vector search, and retrieval systems.
• Exposure to custom model fine-tuning (good to have, not mandatory).

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MLOps & Deployment

• Experience with:
  • Model deployment (API-based or batch)
  • CI/CD pipelines for ML
  • Monitoring and logging
• Familiarity with tools like MLflow, Kubeflow, or similar (any one is fine).

Cloud & Scalability

• Experience with at least one cloud: AWS / Azure / GCP.
• Understanding of scalable system design and APIs.

Data & Systems

• Working knowledge of databases (SQL/NoSQL).
• Experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc.).

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Good to Have (Optional)

• Experience in AIOps or AI for observability/use-case automation.
• Background in data engineering or analytics pipelines.
• Exposure to Kubernetes/Docker.
• Experience in telecom or high-scale product environments.