About the Role

Senior AI Engineer role focusing on developing and deploying machine learning models for surface imaging technology. Responsibilities include managing the ML lifecycle with MLOps practices and collaborating with cross-functional teams. Requires expertise in Python, C++, and AI frameworks like TensorFlow or PyTorch.

Key Responsibilities

• Develop and deploy machine learning models for surface imaging technology
• Collaborate with cross-functional teams to integrate AI capabilities into products
• Manage end-to-end machine learning lifecycle using MLOps practices
• Design, build, and maintain advanced machine learning models
• Oversee machine learning lifecycle with state-of-the-art MLOps methodologies

Required Skills & Qualifications

Must Have:

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
• 4+ years experience with C++ and Python programming languages
• 4+ years experience in Camera Imaging, Audio, or Sensor algorithms
• Solid understanding of fundamentals of ML models and their optimizations

Nice to Have:

• Experience with cloud services, containerization, and CI/CD pipelines
• 7+ years experience with C++ and Python programming languages
• 5+ years Machine Learning Modeling and optimizations
• 5+ years experience with AI machine learning tools and frameworks
• 3+ years experience with embedded AI such as Neural Processing Units (NPUs)

Benefits & Perks

• Industry leading healthcare