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 professional 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 stakeholders
- Proven ability to lead projects and oversee a small team of engineers
- Experience managing data pipelines (collection, cleaning, ingestion) and working with vector databases
- Basic knowledge of computer vision or willingness to learn how to integrate NLP with CV solutions

Preferred Qualifications

- Knowledge of MLOps best practices, including containerization (Docker) and orchestration (Kubernetes)
- Experience deploying models in cloud environments (Azure, AWS, GCP)
- Familiarity with GPU acceleration, distributed computing, and optimizing ML workloads
- Background in building chatbots, virtual assistants, or similar AI-driven products

Benefits

- Competitive salary based on experience
- Remote-friendly work environment with flexible schedule
- Opportunity to work on innovative AI solutions, integrating language and computer vision technologies
- A collaborative and dynamic team environment
- Career growth opportunities and exposure to cutting-edge ML and NLP technologies

Join our team and help shape the future of sports technology with advanced Large Language Model solutions!

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