Senior AI/ML Engineer - LLM/Python

Job Description : Senior AI/ML Engineer (LLM, Python)

Notice Period : Max 15 Days

Experience Required : 3 - 5 years

Work Type : In-Office (5 Days)

Locations : Hyderabad, Indore, Ahmedabad

Roles &

Responsibilities :

Design &

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

AI Architecture :

• Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, and text processing on large-scale unstructured data.

Cloud Deployment :

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

MLOps &

• CI/CD :
• Build and maintain MLOps workflows, experiment tracking (MLflow, Weights &
• Biases), and CI/CD pipelines using GitHub Actions, Docker, and Kubernetes.

Evaluation &

• Quality :
• Define and implement evaluation frameworks (precision, recall, F1, field-level accuracy) and ensure AI observability using Prometheus and Grafana.

Collaboration &

• Leadership :
• Partner with Product and Engineering teams, mentor team members, and drive agile development cycles.

Core Technical Skills :

• Python and SQL.
• ML/data libraries (scikit-learn, pandas, numpy) and deep learning frameworks (PyTorch or TensorFlow).
• REST API design.

GenAI &

• NLP Expertise :
• Transformers, embeddings, vector databases, RAG pipelines, and agentic workflows.

Cloud Platforms :

• AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI).

Orchestration Tools :

• Multi-agentic frameworks and tools like LangChain, LangGraph, CrewAI.

MLOps &

• DevOps :
• Experiment tracking (MLflow, Weights &
• Biases), containerization/orchestration (Docker, Kubernetes), and CI/CD (GitHub Actions, Azure DevOps).

Evaluation &

• Observability :
• Evaluation metrics (precision, recall, F1) and monitoring tools (Prometheus, Grafana).

Leadership &

Background :

• Prior experience leading projects or mentoring team members, with a background in B2B Tech, Consulting, or B2B Software.

Education :

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field.