SFL - Machine Learning Engineer - Computer Vision

About Us :

At SFL, we are transforming India's youth sports academy ecosystem using technology, data, and strategic investments. Our goal is to empower academies with advanced AI tools, analytics, and operational Overview :

We are looking for an ML Engineer to lead the development of our performance and learning tools. This is an individual contributor role where you will design, build, and fine-tune ML models for player analytics, skill assessment, and automated highlight generation. We want someone who is passionate about sports and excited to create solutions that bring together computer vision, machine learning, and sports science. You will work closely with our product and engineering teams to turn these ideas into real products and take them to : & Responsibilities :

• Computer Vision & ML Models : Use computer vision and machine learning techniques to extract meaningful insights from sports videos and match data.
• MLOps : Build and maintain the end-to-end sports analytics ML platform from video ingestion to production on AWS using best MLOps Collaboration : Work with the product and tech teams to align on features and integration plans while independently owning AI product Continuous Improvement : Monitor model performance, gather feedback, and refine algorithms to improve accuracy and user Data Management : Process and analyze structured and unstructured data including videos, scores, and stats to improve model Ownership : High ownership in a fast-paced Qualifications :
• Bachelor's degree in Computer Science or a related field.
• Strong problem-solving skills and a growth mindset.
• Hands-on experience in Python with OpenCV, PyTorch / TensorFlow and other ML libraries.
• 2- 4 years of experience in training and deploying computer vision models in production.
• Practical experience working with AWS.
• Effective use of AI tools Copilot, Cursor, Claude, ChatGPT etc.) to accelerate development and research Qualifications :
• Strong academic background with a degree from IITs, NITs, IIITs, BITS Pilani, or other top-tier institutions.
• Knowledge of CNNs, transformers, object detection, and video analysis models.
• Expertise in Docker, MLFlow, AWS services such as MediaConvert and Sagemaker
• Experience in a large-scale consumer tech company.

Perks and Benefits :

(ref : hirist.tech)