Position: Software Engineer Machine Learning / AI Engineer
About the Role:
Were seeking a mid-level Software Engineer (2 5 years experience) with hands-on expertise in Machine Learning and AI within industrial or embedded environments. The ideal candidate has strong coding skills in Python or C experience building and deploying ML models and exposure to robotics automation or industrial control systems.
Responsibilities:
-
Develop and implement ML/AI algorithms for real-world hardware systems
-
Work with robotics and automation teams to integrate AI solutions
-
Optimize and deploy models for embedded or edge environments
-
Collaborate across engineering disciplines to enhance intelligent systems
Preferred Backgrounds:
Industrial Automation Robotics Medical Devices Aerospace Semiconductor Embedded Systems
Industries/Domains to target
- Medical
- Semiconductor
- Aerospace
- Defense
- Industrial Control Systems
- Robotics
- Machines
- Appliances
- Embedded Devices
How Many Years With
- C:
- C:
- Python:
- Azure:
- Docker:
- Kubernetes:
- Azure Databricks:
- Dashboarding:
- Any Azure CERTS:
- ML Ops:
- Data Engineering:
Position: Software Engineer Machine Learning / AI Engineer About the Role: Were seeking a mid-level Software Engineer (2 5 years experience) with hands-on expertise in Machine Learning and AI within industrial or embedded environments. The ideal candidate has strong coding skills in Pyt...
Position: Software Engineer Machine Learning / AI Engineer
About the Role:
Were seeking a mid-level Software Engineer (2 5 years experience) with hands-on expertise in Machine Learning and AI within industrial or embedded environments. The ideal candidate has strong coding skills in Python or C experience building and deploying ML models and exposure to robotics automation or industrial control systems.
Responsibilities:
-
Develop and implement ML/AI algorithms for real-world hardware systems
-
Work with robotics and automation teams to integrate AI solutions
-
Optimize and deploy models for embedded or edge environments
-
Collaborate across engineering disciplines to enhance intelligent systems
Preferred Backgrounds:
Industrial Automation Robotics Medical Devices Aerospace Semiconductor Embedded Systems
Industries/Domains to target
- Medical
- Semiconductor
- Aerospace
- Defense
- Industrial Control Systems
- Robotics
- Machines
- Appliances
- Embedded Devices
How Many Years With
- C:
- C:
- Python:
- Azure:
- Docker:
- Kubernetes:
- Azure Databricks:
- Dashboarding:
- Any Azure CERTS:
- ML Ops:
- Data Engineering:
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