Company Name:WillwareTechnologies
Role:Senior Data Scientist
Experience:10 Years
Location: Bangalore
WorkMode:Onsite
Job Summary
We are looking for a Senior Data Scientist with strong experience in Sports Analytics Machine Learning Computer Vision Generative AI and MLOps . The candidate will lead the end-to-end development and productionisation of AI solutions for live sports including automated sports metadata generation key-event detection player performance insights contextual statistics and personalised recommendations.
Key Responsibilities
- Lead the end-to-end development of AI/ML solutions using Python Machine Learning Computer Vision and Generative AI .
- Build models for sports event detection metadata generation player performance analysis and injury-risk insights .
- Work with high-volume sports event tracking spatial video and metadata datasets .
- Design and develop ML/DL models using PyTorch and/or TensorFlow .
- Take ML models from experimentation through production model serving and monitoring .
- Design and implement A/B testing experimentation frameworks metrics and dashboards .
- Establish and maintain robust MLOps practices including model tracking model registries drift detection automated retraining and CI/CD.
- Design scalable and low-latency AI systems for real-time or near-real-time sports applications.
- Work with streaming and real-time data processing systems for live sports use cases.
- Ensure models are developed with appropriate responsible AI fairness transparency and ethical principles .
- Lead technical design discussions and define the technical direction for AI/ML solutions.
- Mentor and guide Senior and Mid-Level Data Scientists .
- Collaborate with product engineering data and business teams to deliver production-ready solutions.
- Optimize AI systems for performance latency reliability scalability and cost .
Mandatory Skills
- Strong Python expertise.
- Strong experience in Machine Learning / Deep Learning .
- Hands-on experience with PyTorch and/or TensorFlow .
- Solid Sports Analytics / Sports Data experience.
- Experience working with sports event tracking video spatial or high-volume sports datasets .
- Experience with Computer Vision .
- Experience with Generative AI .
- Strong MLOps experience.
- Experience with ML model deployment and productionisation .
- Experience with real-time or near-real-time data processing .
- Strong technical leadership and mentoring experience.
MLOps & Cloud
- ML CI/CD pipelines.
- Experiment tracking and model registries.
- Model monitoring and drift detection.
- Automated model retraining.
- Infrastructure as Code.
- Cloud-based AI/ML systems.
- Experience with scalable and low-latency architectures.
Good to Have
- Experience with streaming technologies such as Kafka or similar platforms.
- Experience with multimodal AI involving video numerical spatial and metadata data .
- Experience with recommendation/personalisation systems.
- Experience with A/B testing and experimentation.
- Knowledge of responsible and ethical AI practices.
- Experience working in high-scale production environments.
Leadership & Soft Skills
- Strong technical leadership and decision-making skills.
- Experience mentoring Data Scientists and ML Engineers.
- Excellent communication and stakeholder management skills.
- Ability to explain complex AI/ML concepts to technical and non-technical stakeholders.
- Strong problem-solving and analytical skills.
- Ability to work effectively in a fast-changing environment