Game Developer- Squash(Entry Level)

Incedo is a US-based consulting, data science and technology services firm with over 4,500 people helping clients from our six offices across US and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, financial services, product engineering and life science & healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured on-boarding program and carrying throughout various stages of your career. A variety of fun activities are also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.

Role Description:

Key Responsibilities

Squash Expertise & Rule Implementation

• Provide in-depth knowledge of squash rules, including let calls, strokes, and faults.
• Define edge cases and scenarios where AI-based refereeing could be ambiguous.
• Develop with engineers to translate game rules into system logic.

AI & Computer Vision Implementation/Testing

• Evaluate real-time ball tracking, player positioning, and contact detection.
• Validate AI-driven decision-making against real match footage.
• Work with computer vision engineers to fine-tune motion tracking models.

Data Analysis & Model Improvement

• Analyze match data and decision accuracy metrics (e.g., precision, recall).
• Suggest ways to enhance ball speed detection, player interactions, and referee inputs.
• Work with data engineers to refine ML models for squash gameplay understanding.

Collaboration & Feedback

• Provide continuous feedback to developers and product managers.
• Help design the user interface (UI) and user experience (UX) for referees.
• Assist in creating testing frameworks for AI referee training.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.
• Experience as a professional player, coach, or referee is highly preferred.
• Technical expertise in sports engineering, AI, or computer vision applications.
• Hands-on experience with video analysis tools, motion tracking, or sports analytics.
• Ability to collaborate with AI/ML engineers and provide insights for system improvement.

Programming Skills:

• Experience with Python or other scripting languages.
• Knowledge of mathematical calculations, trajectory modeling, and decision logic.
• Familiarity with computer vision frameworks (OpenCV, TensorFlow, PyTorch).
• Understanding of object tracking, event detection, and motion analysis.

Nice-to-Have Skills

• Experience with real-time sports analytics or game-based software.
• Knowledge of AI-based decision-making tools in sports.
• Familiarity with data annotation tools and processes.

Why Join Us:

Be part of a dynamic team that is at the forefront of revolutionizing sports analytics. Our platform offers a unique opportunity to blend your technical skills with your passion for sports, providing insights that enhance game strategies and player performance. Enjoy a creative and supportive environment, where innovation and initiative are valued.