Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Hybrid working environment – home and client site

• Dynamic work environment with exposure to cutting-edge AI and computer vision technologies

Education Requirements:

• Bachelor’s degree in Engineering, Computer Science, or a related technical field

Experience Requirements:

• At least 3 years of relevant job experience, specifically with the integration of manufacturing camera devices, vision AI, or computer vision technologies

• Hands-on experience in an on-site manufacturing or factory setting, with a proven track record of successful technology implementation

Other Requirements:

• Strong problem-solving skills and the ability to work independently under tight deadlines

• Excellent communication skills for interacting effectively with clients and team members

• Familiarity with programming and system configuration

• Willingness to drive and work at various client locations as needed

Responsibilities:

• Integrating and deploying our AI and computer vision technologies within manufacturing factory environments

• Working on-site with our industrial clients to ensure the successful implementation and optimization of our vision AI solutions

• Setting up systems, troubleshooting issues, and training client staff on new technologies

Benefits:

• Competitive salary and compensation package

• Generous vacation policy

• Hybrid working environment – home and client site

• Significant growth opportunities within an early-stage startup

Education Requirements:

• Master’s degree in Engineering, Computer Science, or a related technical field

Experience Requirements:

• 3+ years of experience in deploying machine learning models in field environments, preferably within manufacturing and/or automotive sectors

Other Requirements:

• Programming skills in Python and familiarity with cloud-based and edge computing environments

• Proficient in machine learning frameworks like TensorFlow or PyTorch

• Experience with real-time system monitoring and model performance tuning

• Independent work style coupled with the ability to communicate complex data and methods effectively across different teams

• Working knowledge within AWS, GCP & Azure cloud environments

• Willingness to drive and work at various client locations as needed

• Familiarity with few shot learning and transfer learning techniques as well as model optimization

Responsibilities:

• Deploying, monitoring, and maintaining machine learning models and image gathering hardware directly in operational environments

• Working directly with our Engineering team, refining models based on real-time data and customer feedback

• Ensuring optimal performance and scalability of AI models in field settings