About our group:

Our organization specializes in Global Data Analytics and provides comprehensive solutions for Big data, Generative-AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end to end solutions.

About the role - you will:

•    In this highly visible role, you will help develop and optimize Large Language Model based analytics solutions to revolutionize business operations
•    Be part of a product team of 12-15 Data science, ML and Platform Engineers that are the crux for developing and maintaining Machine Learning /advanced analytics platforms & Solutions and Big Data Solutions
•    Leverage commercial (e.g. Azure Openai ) or open source ( e.g. Llama)  LLMs to help end users intuitively and efficiently accelerate their daily workflows
•    Work on seamless integration of LLM models with existing platforms
•    Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
•    Collaborate with data scientists, data engineers and Business SMEs to end-to-end Analytics platform and supporting infrastructure

About you:

•    You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of HiTech and Manufacturing analytics
•    Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
•    You’re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
•    Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
•    Excellent interpersonal skills to develop relationships with different teams and peers in the organization

Your experience includes:

•    Currently pursuing Masters in Computer Science, Machine Learning Engineering, Statistics, or related fields.
•    Proven hands-on or research experience in developing Natural Language Processing models
•    Strong understanding of machine learning principles & algorithms and generative AI tools and techniques
•    Strong programming background in Python
•    Familiarity with SQL
•    Working experience on the various aspects of training and deployment of deep learning solutions in TensorFlow or PyTorch

Location:

Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as our vibrant on-site food, and athletic and personal development opportunities for our employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series, or attend one of the frequent on-site cultural festivals, celebrations, and community volunteer opportunities.

Location: Pune, India
Travel: None