What are the responsibilities and job description for the Computer Vision Engineer position at Radiansys Inc.?
Role: Lead Computer Vision Engineer
Duration: 1 Years
Location: Oakland, CA (Hybrid/Remote) - [Must be local from CA only]
Type: W2 Only
Knowledge, Skills, Abilities and (Technical) Competencies:
• Desired: experience building computer vision models
• Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)
• Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
• Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment
• Competency in commonly used data science and/or operations research programming languages, packages, and tools.
• Hands-on and theoretical experience of data science/machine learning models and algorithms
• Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
• Competency in the mathematical and statistical fields that underpin data science
• Mastery in systems thinking and structuring complex problems
• Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
