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.