
SFL - Machine Learning Engineer - Computer Vision
4 days ago
About Us :
- 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 :
- 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 :
- Competitive salary and performance-linked incentives.
- High ownership in building a greenfield AI product from scratch.
- Opportunity to impact youth sports in India through meaningful innovation.
- Flexible work environment with a learning-focused culture.
(ref:hirist.tech)-
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