Lead Machine Learning Engineer
Sequoia
Bangalore Urban, Karnataka, India
Role Overview:
We are seeking a highly experienced Lead Machine Learning Engineer with a strong engineering
foundation and deep expertise in building, deploying, and scaling Machine Learning and Generative
AI solutions in production environments.
The ideal candidate will have 5+ years of experience across the complete ML lifecycle, from data
acquisition and model development to MLOps, deployment, monitoring, and business impact
measurement. The candidate should have demonstrated success in delivering commercial AI
products and building production-grade AI applications leveraging modern LLMs and Generative AI frameworks.
Key Responsibilities:
- Design, develop, and deploy end-to-end ML solutions at scale.
- Build and optimize predictive models, recommendation systems, NLP solutions, and
deep learning applications.
- Drive the complete data science lifecycle:
- Problem formulation
- Data exploration
- Feature engineering
- Model training
- Evaluation
- Production deployment
Generative AI
- Build enterprise-grade GenAI applications using:
- OpenAI
- Azure OpenAI
- Anthropic Claude
- Llama
- Mistral
- Gemini
- Design and implement:
- RAG architectures
- Agentic AI systems
- Multi-agent frameworks
- Prompt engineering strategies
- Fine-tuning pipelines
Key Responsibilities:
- Design, build, deploy, and monitor production-grade ML solutions
- Develop AI/ML applications using modern ML and GenAI frameworks
- Build and optimize end-to-end ML pipelines
- Collaborate with Product and Engineering teams to deliver business impact
- Drive best practices in MLOps, model governance, and scalability
Preferred Skills:
- Python, SQL, Spark
- ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn)
- LLMs, RAG, Agentic AI
- Docker, Kubernetes, Cloud Platforms (AWS/Azure/GCP)
- MLOps and model deployment
What Sets You Apart:
- Experience optimizing LLMs for production (cost, latency, scaling)
- Track record of maintaining AI systems in production
- Ability to balance innovation with practical business needs
- Experience with HR/people analytics domain