Sr. AI/ML Engineer

Key Responsibilities:
Design & build autonomous/agentic AI systems capable of planning, reasoning, and tool/API interactions.
Implement agentic frameworks (LangChain, LlamaIndex, CrewAI, or custom orchestration).
Build virtual assistant capabilities, including voice-driven interactions on top of internal content platforms.
Optimize reasoning, retrieval, and embedding pipelines using vector DBs and prompt engineering.
Develop & fine-tune ML/LLM models using PyTorch, TensorFlow, scikit-learn, or Transformer-based architectures.
Work on NLP, CV, and predictive modeling: preprocessing, feature engineering, evaluation.
Build ML pipelines for training, deployment, monitoring, and continuous improvement.
Integrate AI components into backend systems, APIs, and microservices.
Ensure scalable, cloud-native delivery using AWS/GCP/Azure, Docker, Kubernetes, CI/CD, observability.
Contribute to architecture/design for AI-driven features & platforms.
Research & proto...

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