Job Description: 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.

Mandatory Requirements (Ideal Candidate Profile)

• Experience: Minimum 3+ years of professional AI/ML engineering experience building and shipping production-grade systems in real-world environments.
• Core Technical Skills:
• Strong programming skills in Python and SQL.
• Proficiency with ML/data libraries (scikit-learn, pandas, numpy) and deep learning frameworks (PyTorch or TensorFlow).
• Strong experience in REST API design.
• GenAI & NLP Expertise: Hands-on experience with transformers, embeddings, vector databases, RAG pipelines, and agentic workflows.
• Cloud Platforms: Hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI).
• Orchestration Tools: Experience with multi-agentic frameworks and tools like LangChain, LangGraph, CrewAI.
• MLOps & DevOps: Experience with experiment tracking (MLflow, Weights & Biases), containerization/orchestration (Docker, Kubernetes), and CI/CD (GitHub Actions, Azure DevOps).
• Evaluation & Observability: Experience with 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.

Pay: ₹665,828.01 - ₹1,931,110.83 per year

Benefits:

• Flexible schedule
• Paid time off
• Provident Fund

Work Location: In person