Lead Machine Learning Engineer
Bengaluru · Staff/Principal
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What we know about this role
HIGH
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Job description
Lead Machine Learning Engineer
Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-29
Salary: INR 5,000,000–9,900,000
Workplace: on_site
Department: Weekday's Client via platform
Description
This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 9900000 (ie INR 50 - 99 LPA)
Min Experience: 10+ years
Location: Bengaluru
JobType: full-time
Requirements
Key Responsibilities:
Machine Learning & Data Science
• 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
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
• Production deployment
• Excellent communication skills and ability to work with diverse stakeholders
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
Must-have skills
Machine Learning, GENAI, Production
Good-to-have skills
Gen AI
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