Description

Design, develop, and deploy machine learning models and AI solutions for industrial automation and robotics.

This role is on-site.

Responsibilities

• Implement end-to-end ML pipelines covering data collection, preprocessing, training, validation, and deployment.
• Build scalable ML solutions utilizing Microsoft Azure cloud services.
• Integrate AI capabilities into products by collaborating with data and embedded systems engineers.
• Develop and maintain dashboards for monitoring model performance and visualizing data.

Required Skills

• 2-5 years of professional experience in software development.
• Strong programming proficiency in C, C++, and Python.
• Hands-on experience with the Microsoft Azure cloud ecosystem.
• Practical knowledge of Azure Databricks for big data and ML processing.
• Experience implementing MLOps practices to automate the ML lifecycle.
• Proficiency with containerization and orchestration tools like Docker and Kubernetes.
• Experience applying Data Engineering principles to build data pipelines.
• Experience with data visualization tools such as Power BI or Grafana.

Preferred Skills

• Background in Robotics, Industrial Control Systems, or Embedded Devices.

Key Skills

Education

Any Gradute