About The Role
SportERP Limited is expanding its
R&D;
and
Engineering
capabilities in Pune, India, and we're looking for a
Senior LLM Engineer
to drive the development of
state-of-the-art Large Language Models (LLMs)
. In this role, you'll work closely with
computer vision
teams, building integrated AI solutions that power the next generation of sports technologies.

If you have
6–7 years of experience
in
NLP
,
LLMs
, and
machine learning
, along with
excellent communication skills
and the ability to lead teams, we want to hear from you. This position requires a deep understanding of how LLMs can be applied in various contexts—including text generation, knowledge extraction, and advanced analytics—and how to integrate them effectively with computer vision processes.

Responsibilities
- Design, develop, and optimize Large Language Model solutions (e.g., GPT-based architectures, BERT variants)
- Collaborate with computer vision teams to integrate multimodal data (text, images, video)




- Lead the research and implementation of cutting-edge NLP and generative AI techniques
- Explore, select, and manage vector databases and related infrastructure for large-scale text/data storage
- Oversee and mentor junior engineers, providing technical guidance and best practices in AI/ML development
- Collaborate with cross-functional teams, product managers, and stakeholders in India and the UK to define and execute on project goals
- Ensure high-quality documentation, code integrity, and scalable solutions

What We're Looking For

Required Skills & Experience
- 6–7 years of qualified experience in machine learning, NLP, or LLMs
- Hands-on expertise with transformer-based models (e.g., GPT, BERT, T5) and associated deep learning frameworks (e.g., TensorFlow, PyTorch)
- Strong familiarity with fine-tuning large language models for specific domains or tasks
- Excellent communication skills in English (verbal and written), capable of guiding teams and interacting with international sta

📌 Senior Large Language Model Engineer (Pune Division)
🏢 SportERP
📍 Pune Division