AI​/ML Architect; Standard

AI/ML Architect (Standard)

Location:

Any Infogain Base Location (Noida, Gurugram, Bangalore, Mumbai, Pune)

We are seeking a motivated and innovative senior developer with a specialization in Generative AI. The ideal candidate will be enthusiastic about exploring new problems, driving innovation, and leveraging advanced machine learning techniques and programming skills (especially in Python). You will work on real-life client problems building production-grade AI / GenAI solutions. This role is perfect for someone who enjoys learning, creative problem-solving, and working in a dynamic environment.

• Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research.
• 12-15 years of experience in the Analytics/Data Science domain.
• Proficiency in programming languages such as Python.
• Experience with Generative AI techniques and tools.
• Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
• Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.
• Knowledge of databases and associated tools such as SQL.

Technical Skills – Desirable:

• Expertise in NLP and Generative AI concepts/methods/techniques like
  • Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o
  • Fine-tuning through LORA/QLORA
  • Multi-agentic frameworks for RAG
  • Reranker for enhancing the plain-vanilla RAG
• Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP).
• Exposure to Big Data technologies like Hadoop, Hive, Spark.
• Experience with advanced reporting tools such as Tableau, Qlikview, or Power
  
  BI.

• Translate business requirements into actionable analytical plans in collaboration with the team and business analyst.
• Ensure alignment of analytical plans with the customer’s strategic objectives.
• Identify and leverage appropriate data sources to address business problems.
• Explore, diagnose, and resolve data discrepancies, including ETL tasks, missing values, and outliers.

• Individually lead projects, proof-of-concept (POC) initiatives, or development efforts from inception to completion.
• Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals.
• Design and implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications.
• Manage project timelines, resources, and deliverables, coordinating with cross-functional teams to achieve project goals.
• Ensure the delivery of production-ready models and solutions, meeting quality and performance standards.
• Monitor success metrics to ensure high-quality output and make necessary adjustments.
• Create and maintain documentation/reports.

• Mentor junior data scientists, providing guidance on technical challenges and career development.
• Facilitate knowledge sharing within the team, promoting best practices and fostering a collaborative environment.
• Conduct code reviews to ensure high-quality, maintainable, and efficient code.

• Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions.
• Implement novel applications of Generative AI algorithms and techniques in Python.
• Evaluate and adopt best practices in AI/ML development to enhance the effectiveness and efficiency of our solutions.

• GenAI-powered self-serve analytics solution for a global technology giant, leveraging multi-agent frameworks and Azure OpenAI services.
• GenAI bot for querying on textual documents (e.g., retail audit orientation, FAQ documents, research briefs) with personalized responses and citations.
• GenAI bot for querying on tabular datasets (e.g., monthly KPI data) to process natural language queries and generate textual, tabular, and visual responses.
• GenAI-powered advanced information retrieval from structured data for a global technology leader.
• Times
  
  FM modelling for…