Data & AI Engineer

1 week ago

Bengaluru Karnataka India, Karnataka TrainTrack Full time
Key Responsibilities1. Data Infrastructure & Pipelines
  • Build and maintain data pipelines for collecting, cleaning, and storing data from multiple sources
  • Design and manage databases for structured and time-series data
  • Create tools for data validation, versioning, and ingestion to ensure model-ready datasets.
  • Work closely with the Tech Lead to define API interfaces between the app and AI layer.
2. AI Model Development
  • Develop and train models for:
  • Scores and recommendations
  • Predictive analytics
  • Use both classical ML (regression, clustering) and neural approaches (LSTM, CNNs for time-series).
  • Deploy models via FastAPI / Flask APIs for live inference in the app.
3. Analysis & Experimentation
  • Run experiments to improve model accuracy and personalization.
  • Collaborate with physiotherapists and sports scientists to interpret results and validate model logic.
  • Create dashboards to visualize performance metrics and prediction accuracy.
  • Iterate based on pilot feedback from real users and physio sessions.
4. Deployment & Scaling
  • Manage ML pipeline automation for retraining and continuous improvement.
  • Ensure scalable, low-latency inference for user-facing features.
  • Handle cloud storage and model versioning on AWS / GCP.


Ideal Background & Skills

Technical Stack:

  • Languages: Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
  • Data: PostgreSQL / MongoDB / AWS S3 / BigQuery
  • APIs: FastAPI, Flask
  • Cloud: AWS / GCP (SageMaker, Lambda, EC2, Cloud Functions)
  • Pipelines: Airflow / Prefect / custom ETL scripts
  • Visualization: Matplotlib, Plotly, or Streamlit

Nice-to-Have:

  • Familiarity with wearable and sensor data (accelerometer, HRV, GPS, power, etc.)
  • Experience with time-series analysis, biomechanics, or exercise physiology
  • Knowledge of recommendation systems or predictive analytics
  • Experience with model deployment and MLOps

Soft Skills:

  • Passion for fitness, health, or sports performance
  • Strong communication — able to translate data science into plain English for non-technical teammates
  • Comfortable with rapid prototyping and working in ambiguous early-stage environments


What You’ll Get
  • Ownership of the entire AI backbone of a next-generation fitness platform.
  • Freedom to experiment, deploy, and iterate models that directly impact users’ health outcomes.
  • Work in close collaboration with experts in health tech.
  • Competitive pay + early-stage equity options.


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