Overview

Project Duration: 4 months + possible 1–2 month extension Budget: Up to ₹2 Lakh/month

Responsibilities

• We are looking for a Senior AI/ML Engineer / Data Scientist with strong hands-on experience in Classical Machine Learning, Statistical Modelling and Optimization, along with working knowledge of LLMs and Generative AI.
• The primary focus of this role will be developing ML and optimization solutions to address complex business problems. LLM/GenAI will form a secondary component of the role. Deep MCP Server or Agentic AI expertise is not a primary requirement.
• Understand complex business problems and translate them into ML, statistical and optimization solutions.
• Design, develop and implement classical machine learning models.
• Perform statistical analysis, predictive modelling and optimization.
• Apply appropriate ML algorithms based on business objectives and data characteristics.
• Perform data exploration, feature engineering, model development and validation.
• Develop optimization models to support business decision-making.
• Evaluate model performance and improve model accuracy, robustness and scalability.
• Work with stakeholders to understand business requirements and evolving problem statements.
• Develop prototypes and convert successful analytical solutions into production-ready solutions.
• Apply LLM/Generative AI techniques to selected business use cases.
• Work with LLM APIs, prompt engineering and basic RAG/GenAI architectures where required.
• Collaborate with Data Engineers, Backend Engineers and Frontend Engineers to build end-to-end solutions.
• Support model deployment, testing, documentation and client handover.
• Participate in technical discussions and explain analytical approaches and outcomes to business stakeholders.
• Adapt quickly to changing business requirements during the project lifecycle.

Qualifications

• Project Duration: 4 months + possible 1–2 month extension
• Budget: Up to ₹2 Lakh/month
• Work Mode: Onsite / Client-facing
• Travel: Approximately 50% travel may be required
• Project Phase: Phase 1
• Technology Focus: 70% Classical ML / Modelling / Statistics + 30% LLM / GenAI
• 6+ years of experience in Data Science, Machine Learning, AI/ML Engineering or a closely related field.
• Strong hands-on experience in Classical Machine Learning.
• Strong foundation in statistics, mathematics and statistical modelling.
• Strong experience in optimization techniques and modelling.
• Advanced Python programming skills.
• Strong experience with Pandas, NumPy, Scikit-learn and relevant ML libraries.
• Strong understanding of model evaluation, validation and feature engineering.
• Working knowledge of LLMs and Generative AI.
• Strong analytical, problem-solving and communication skills.
• Exposure to Azure ML or similar ML platforms.
• Exposure to RAG and vector databases.
• Consulting or client-facing project experience.
• MCP Server experience.
• Deep Agentic AI experience.
• Multi-Agent orchestration.
• Extensive LLM architecture experience.