Roles & Responsibilities :

- Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.

- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.

- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.

- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.

- Build and maintain CI/CD pipelines for AI model deployment using GitHub Actions, Azure DevOps, Docker, and Kubernetes.

- Define and implement evaluation frameworks (precision, recall, F1, field-level accuracy) and maintain code quality through reviews and testing.

- Partner with Product, Data Engineering, and Platform teams to translate business requirements into scalable AI solutions.

- Mentor team members and share knowledge to elevate overall team capability.

- Continuously research and apply advancements in NLP, LLMs, and extraction techniques.

- Contribute to efficient development cycles following Agile practices and drive automation across the AI delivery pipeline.

Ideal Candidate :

- Strong Senior AI Engineer Profile with production-grade LLM and Python expertise.

- Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environments.

Tech Stack :

- Python, SQL, PyTorch/TensorFlow, AWS, Azure, LangChain, LangGraph, MLflow, Docker, Kubernetes.

Education :

- Bachelor's or Master's degree in Computer Science/Engineering/Data Science/Mathematics/Statistics or related fields.

Additional Information :

- Full-time position based in Hyderabad, Indore, or Ahmedabad, India.

- Company is CMMI Level 3 Appraised, rated 4.6/5 on Glassdoor, and recognized for excellence in data and AI solutions with multiple industry awards.