
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