AI/ML Engineer

About the Role:

AI/ML Engineer

Key Responsibilities:

• Develop and deploy ML models for

  personalized fitness coaching

  (exercise recognition, workout recommendations, posture correction).
• Analyze

  workout history data

  and generate

  AI-powered insights & analytics.

• Build recommendation systems for

  custom workout and nutrition plans.

• Work with

  time-series, sensor, and user activity data

  to extract patterns.
• Integrate AI models into mobile applications with product and engineering teams.
• Optimize models for

  real-time performance and scalability.

• Manage and query structured/unstructured datasets using

  PostgreSQL/MySQL.

• Collaborate with data engineers for efficient data pipelines and model deployment.

Required Qualifications:

• Bachelors/Master’s in

  Computer Science, Data Science, AI/ML, or related fields.

• 3–5 years of experience

  in ML model development and deployment.
• Strong expertise in

  Python, TensorFlow, PyTorch, Scikit-learn.

• Experience with

  time-series analysis, computer vision, or NLP.

• Solid knowledge of

  SQL databases (PostgreSQL/MySQL)

  for data storage, querying, and analytics.
• Strong understanding of

  recommendation systems, predictive analytics, and personalization models.

• Familiarity with

  MLOps, model deployment on AWS/GCP/Azure or edge devices.

• Excellent problem-solving and analytical skills with a passion for fitness tech.

Good to Have:

• Experience with

  wearable/sensor data (accelerometer, gyroscope, heart rate, etc.).

• Knowledge of

  human activity recognition or pose estimation models.

• Exposure to

  AI-based chatbots or conversational systems.

• Familiarity with

  data visualization tools

  (Tableau, Power BI, or custom dashboards).\

Why Join Us?

• Work on cutting-edge fitness technology and connected health solutions.
• Collaborate with a passionate, cross-functional team in a fast-paced environment.
• Competitive salary, benefits, and opportunities for career growth.
• Be at the forefront of mobile and IoT fitness innovation.