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

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 up-to-date 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

📌 Lead Machine Learning Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru