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