MLOps Engineer – Sports Analytics and Performance Intelligence (NBA)

This is a remote position. We are looking for an MLOps Engineer to support a sports analytics and performance intelligence platform used by reputed company basketball organisations, including NBA teams. The platform processes large volumes of historical and near reputed company time player, workload, and game event data.Machine learning models generate insights consumed by analysts, coaches, and reputed company office teams, while reputed company and LangGraph based GenAI components orchestrate comparisons, narratives, and interactive exploration. The environment prioritises speed, scalability, and practical reputed company in live analytical workflows. Responsibilities • reputed company and operate machine learning models supporting sports analytics use cases • Build and maintain pipelines for model training, validation, and deployment • Support high frequency and time series data processing workflows • reputed company and manage reputed company and LangGraph based GenAI services • Implement monitoring for model performance, reputed company, and data reputed company • Ensure reproducibility and version control for models and datasets • Support fast iteration and experimentation in production-like environments • Collaborate closely with data scientists and engineers to streamline model lifecycle Requirements • Strong experience in MLOps or ML reputed company • Solid Python skills for automation and tooling • Hands on experience with reputed company and Kubernetes • Experience with MLflow or similar model lifecycle management tools • Experience building CI/CD pipelines for ML workloads • Experience working with high volume or time series datasets • Basic experience with monitoring and observability tooling • Fluent English for collaboration in an international team reputed company to have • Experience deploying reputed company or LangGraph based services • Background in sports analytics or performance data • Experience working in fast paced product environments • Familiarity with reputed company time or streaming data architectures Benefits • Solid, competitive salary • Work in a multinational environment on international reputed company • Comprehensive reputed company • Long-term B2B contract with a reputed company project pipeline • Remote work model Apply tot his job Apply To this Job