AI/ML Lead
Role Overview
We’re looking for an experienced AI/ML Lead with strong hands-on expertise in Python-based ML systems and Generative AI. This role focuses on designing and deploying production-grade AI solutions, including LLMs, RAG pipelines, and scalable MLOps systems.
You’ll collaborate closely with product and engineering teams to build secure, high-performance, and scalable AI-powered applications.
Key Responsibilities
AI/ML System Design
- Design and implement end-to-end ML pipelines (data ingestion → training → evaluation → deployment)
- Lead LLM-based solutions using prompting strategies, RAG, and agentic workflows
- Define scalable patterns for GenAI and ML application development
Model Development & Optimization
- Perform data analysis, curation, and quality benchmarking
- Build and optimize models with feature engineering, training, and hyperparameter tuning
- Fine-tune LLMs and optimize prompts for specific use cases
- Evaluate and select appropriate models (open-source or proprietary)
- Work with data teams to ensure dataset readiness and quality
MLOps & Deployment
- Implement MLOps best practices:
- Model & prompt versioning
- Experiment tracking
- Monitoring & retraining pipelines
- Drift detection and token cost optimization
- Deploy models in production environments (APIs, batch, streaming)
- Ensure performance, scalability, and reliability
Platform & Integration
- Integrate AI solutions into existing microservices and backend systems
- Work with vector databases, APIs, and caching layers
- Ensure security, governance, and compliance in AI deployments
Collaboration & Leadership
- Translate business problems into scalable AI solutions
- Collaborate with cross-functional teams
- Mentor engineers on AI/ML and GenAI best practices
Must-Have Skills
Core
- 10–15 years of experience in software engineering
- Strong programming skills in Python (mandatory)
- Experience building production-grade ML systems
AI/ML & GenAI
- Hands-on experience with:
- Data analysis, curation & feature engineering
- Model training, evaluation & hyperparameter tuning
- LLMs / GenAI applications
- RAG pipeline design
- Prompt engineering & model tuning
- Experience with frameworks like TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex
- Understanding of embeddings, vector search, and retrieval systems
- Exposure to model fine-tuning (good to have)
MLOps & Deployment
- Experience with model deployment (API/batch)
- CI/CD pipelines for ML systems
- Monitoring and logging
- Familiarity with tools like MLflow, Kubeflow, or similar
Cloud & Scalability
- Experience with AWS / Azure / GCP
- Strong understanding of scalable system design and APIs
Data & Systems
- Working knowledge of SQL/NoSQL databases
- Experience with vector databases (Milvus, Pinecone, Weaviate, FAISS)
Good to Have
- Experience in AIOps or AI-driven automation
- Background in data engineering pipelines
- Exposure to Docker / Kubernetes
- Experience in telecom or high-scale environments
Pay: ₹180,000.00 - ₹210,000.00 per month
Ability to commute/relocate:
- Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required)
Experience:
- Strong programming skills in Python (mandatory): 10 years (Required)
Work Location: In person
