As a Senior Machine Learning Scientist, you will build and maintain ML systems, develop LLM solutions, and mentor team members. You will work on data pipelines, model training, and deployment, focusing on optimizing ML workflows and enhancing team practices.
Data Science @SportsAI:
At Dream Sports AI, we are pushing the boundaries of what is possible in sports experience. We are the team behind Rushline, a product where the game loop is driven by intelligent systems rather than static scripts. We are looking for builders who want to work at the bleeding edge of Generative AI, Large Language Models (LLMs), and Machine Learning. We have successfully laid the groundwork for Rushline’s intelligent core. This includes building robust pipelines for rich sports data, deploying predictive models, and publishing research at top-tier conferences such as AAAI that validates our approach to complex game theory and optimization.
We are now hiring to tackle the complex challenges of the next evolution of Rushline:
Next-Gen Simulation: moving from basic forecasting to complex, state-aware agent behaviors.
Generative Immersion: Utilizing LLMs and GenAI to create hyper-personalized game narratives and visual assets on the fly.
Scale & Strategy: Optimizing inference for real-time decision-making in high-concurrency environments
Your Role:
- Build and ship production ML/AI systems: data preparation, feature pipelines, model training, deployment, monitoring, and iterative upgrades
- AI engineering with LLMs: design, fine-tune, evaluate, and productionize LLM-based solutions (e.g., retrieval-augmented generation, assistants, copilots, content understanding, classification)
- Develop and maintain ML services with strong engineering fundamentals: scalable APIs, proactive monitoring, alerting, rollback strategies, and operational excellence
- Architect reliable ML workflows: reproducible training, model versioning/registry, CI/CD for ML, and guardrails for safe deployment
- Break down complex initiatives into milestones with clear stakeholder visibility and delivery rigor
- Mentor team members and raise the bar on ML and engineering best practices
Qualifiers:
- 3-6 years of experience building, deploying, and maintaining ML solutions in production
- Strong proficiency in Python and SQL
- Deep hands-on experience with PyTorch or TensorFlow
- Experience with distributed data/compute frameworks (Spark / Ray / Dask)
- Strong foundation in machine learning, probability, statistics, and deep learning
- Experience designing end-to-end ML systems at scale (data → training → serving → monitoring)
About Dream Sports:
Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform and DreamSetGo, a sports experiences platform.
Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology.
For more information: https://dreamsports.group/
Top Skills
Dask
Python
PyTorch
Ray
Spark
SQL
TensorFlow
Dream Sports Mumbai, Maharashtra, IND Office
Peninsula Business Park, Mumbai, Maharashtra, India, 400013
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