
Quality Assurance Intelligence Intern
- Bangalore, Karnataka
- Training
- Part-time
- Media outlets add a little magic to their coverage with our stats and graphics packages.
- Sportsbooks can offer better predictions and more accurate odds.
- The world's top coaches are known to use our data to make critical team decisions.
- Sports commentators can engage with fans on a deeper level, using our stories and insights.
We're an innovation-driven engineering team pushing the boundaries of AI-powered testing, development, and sports analytics. If you're excited about using Python and AI to solve real-world challenges-and you get a thrill from sports stats, performance tracking, or game-day insights-you'll feel right at home.What You'll Do:
- Work on live projects that combine Python programming with AI frameworks, especially in the QA automation and sports tech domains.
- Collaborate with diverse, cross-cultural teams to build high-impact solutions.
- Rapidly learn and implement AI tools that power decision-making and performance insights-especially in sports-related use cases like event tracking, commentary generation, and player analysis.
- Embrace challenges-whether it's building a prototype, optimizing a data pipeline, or debugging a neural net.
- Be part of brainstorming sessions and bring sporty, innovative, out-of-the-box ideas to the team.
- Analytical & Intellectual Problem Solving, Data Structures & Algorithms, Coding in Python
- A genuine interest in AI/ML and its real-world applications.
- A passion for sports-whether you play, watch, analyze, or build around it!
- A fast learner who adapts to new tools and concepts quickly.
- A team player who communicates well and thrives in collaborative settings.
- Willingness to work across global teams and cultures.
- Played with AI frameworks like PyTorch, TensorFlow, or OpenCV.
- Built side projects involving sports data, player tracking, computer vision, or match insights.
- Used Git, APIs, or QA tooling in your previous work or personal projects.
- Knowledge of data visualization or event recognition in sports.
- Be part of an exciting fusion of AI, Python, and sports innovation.
- Work on projects that might just redefine how we watch, test, or analyze the game.
- Learn from industry mentors and contribute to globally impactful solutions.
- A culture that promotes creativity, agility, and continuous learning-with plenty of room to experiment and grow.