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Data Scientist / Data Engineer (AI / ML, R&D)

$ 4,000 - $ 7,500 / month

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The candidate should have expertise in Machine Learning and Artificial Intelligence who will be able to manage full-stack applications (front-end and back-end) for AI/ML projects.

Key Responsibilities:

  • Build, deploy, and optimize machine learning models.
  • Manage and preprocess data pipelines.
  • Develop front-end dashboards using frameworks like React or Angular.
  • Build and maintain back-end APIs.
  • Lead AI/ML projects from concept to deployment.
  • Coordinate cross-functional teams and ensure timely delivery.
  • Implement AI solutions in manufacturing for optimization and predictive maintenance.

Experience Required:

  • Proficiency in machine learning frameworks (TensorFlow, PyTorch) and programming languages (Python, JavaScript).
  • Knowledge of IoT, industrial automation, and robotics.
  • Expertise in predictive maintenance and production optimization (Added advantage).
  • Familiarity with edge computing and sensor data analytics (Added advantage).

Education/Qualification

  • Minimally to have Bachelor degree in computer science, AI/ML, or related fields.

It’s Great if You Have

  • Minimum 3 years (Preferred in manufacturing and machine tool industry)
  • Experience with databases (SQL/NoSQL) and cloud platforms (AWS/Azure)
  • Experience with DevOps practices for CI/CD pipelines and deployment

The Talent People 24C2589

The candidate should have expertise in Machine Learning and Artificial Intelligence who will be able to manage full-stack applications (front-end and back-end) for AI/ML projects.

Key Responsibilities:

  • Build, deploy, and optimize machine learning models.
  • Manage and preprocess data pipelines.
  • Develop front-end dashboards using frameworks like React or Angular.
  • Build and maintain back-end APIs.
  • Lead AI/ML projects from concept to deployment.
  • Coordinate cross-functional teams and ensure timely delivery.
  • Implement AI solutions in manufacturing for optimization and predictive maintenance.

Experience Required:

  • Proficiency in machine learning frameworks (TensorFlow, PyTorch) and programming languages (Python, JavaScript).
  • Knowledge of IoT, industrial automation, and robotics.
  • Expertise in predictive maintenance and production optimization (Added advantage).
  • Familiarity with edge computing and sensor data analytics (Added advantage).

Education/Qualification

  • Minimally to have Bachelor degree in computer science, AI/ML, or related fields.

It’s Great if You Have

  • Minimum 3 years (Preferred in manufacturing and machine tool industry)
  • Experience with databases (SQL/NoSQL) and cloud platforms (AWS/Azure)
  • Experience with DevOps practices for CI/CD pipelines and deployment

The Talent People 24C2589