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 hours
• 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!