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Data & AI Engineer

Data & AI Engineer

TrainTrackpune, maharashtra, in
1 day ago
Job description

Key Responsibilities 1. 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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    Data Engineer • pune, maharashtra, in