ML/AI Engineer

We're enhancing our established tennis analytics platform with AI capabilities to deliver personalized insights for players of all levels. Our small, agile team is looking for an ML/AI specialist to help us create innovative features that transform match data into actionable coaching advice.

The Role

Lead the development of AI-powered tennis analytics features, working directly with our CTO and CPO to implement RAG systems, machine learning models, and LLM integrations.

Location: Remote (Latin America, Philippines, or Eastern Europe preferred) Hours: Part-time (20-30 hours/week)

Key Responsibilities

• Implement RAG (Retrieval Augmented Generation) systems to connect tennis data with LLMs
• Create ML models for win probability analysis and performance trends
• Develop data processing pipelines for statistical insights
• Build API services for delivering AI insights to frontend applications
• Design recommendation systems for personalized training plans

Required Skills

• 3+ years ML/AI development experience with focus on NLP and LLMs
• Hands-on experience with RAG systems (LangChain/LlamaIndex)
• Strong Python skills (Pandas, NumPy, SciKit-Learn)
• REST API development experience (FastAPI preferred)
• Knowledge of vector databases and embedding techniques
• Experience with prompt engineering for LLMs

Bonus Qualifications

• Sports analytics experience
• Knowledge of tennis
• Experience with XGBoost/LightGBM
• MongoDB and PostgreSQL familiarity