Computer Vision Data Scientist

• About Our Client:

The organization operates in the industrial technology sector, focusing on advancing essential technologies that enhance safety, environmental compliance, and product innovation across various applications. It addresses challenges in regulated, high-stakes environments by delivering solutions that improve operational efficiency, product quality, and user outcomes. The organization supports transformation in areas such as environmental health and safety, industrial monitoring, and healthcare safety, impacting a broad range of industries at scale.

• About the Opportunity:

The \*\*Computer Vision Data Scientist\*\* role involves developing and extending applied AI and machine learning solutions to support intelligent, real-time decision-making in complex, regulated settings. This position contributes by collaborating with cross-functional teams to deliver reliable, scalable, and compliant machine learning systems from concept through production, ensuring these solutions have measurable clinical and business impact.

• Responsibilities:

• Lead end-to-end data science projects including problem framing, data strategy, model development, deployment, and optimization

• Design, train, and evaluate machine learning and deep learning models for real-time and near-real-time inference

• Apply computer vision, pattern recognition, predictive modeling, and generative AI techniques to domain-specific challenges

• Translate ambiguous domain and business needs into clear methods, success metrics, and deployable systems

• Build scalable data pipelines and feature engineering workflows using Python or compiled languages

• Collaborate with engineering teams to integrate models into production focusing on performance and reliability

• Implement monitoring, validation, and retraining strategies to manage model drift and performance

• Use statistical and experimental methods to evaluate model quality and guide improvements

• Ensure compliance with governance, privacy, and regulatory standards for deployed models

• Assess and apply emerging machine learning techniques to improve outcomes

• Enhance code quality, testing, documentation, and reproducibility across workflows

• Communicate technical insights effectively to both technical and nontechnical stakeholders

• Requirements:

• Master’s degree in computer science, electrical or biomedical engineering, statistics, or related fields focused on machine learning or computer vision

• Fundamental knowledge of linear algebra, quaternions, and 3D geometry

• Understanding of image sensor operation, lens optics, and camera calibration processes

• Experience with intrinsic and extrinsic camera matrices and camera position/pose estimation

• Experience optimizing algorithms for embedded systems and servers

• Minimum of three years in data science, machine learning engineering, AI research, or equivalent roles

• Proven track record of delivering data science projects from problem definition to production deployment

• Skills in building ML models and handling large, complex datasets

• Ability to collaborate across teams and translate requirements into solutions

• Application of advanced statistical techniques for pattern recognition and insights

• Proactive model performance monitoring and continuous improvement

• Up-to-date knowledge of AI, machine learning, and data engineering developments

Preferred Technical Qualifications:

• Experience designing, training, and deploying deep learning models in production

• Practical knowledge of OpenCV, PyTorch, or TensorFlow

• Strong background in computer vision, video analytics, or medical image analysis

• Ability to build scalable data pipelines and labeling workflows with modern frameworks

• Experience deploying models on cloud and edge infrastructures considering latency and resource constraints

• Solid foundation in statistical methods, experiment design, time series analysis, and model evaluation

• Familiarity with MLOps and DevOps practices including CI/CD, containerization, monitoring, and model lifecycle management

• Production experience in Python or compiled languages and SQL for large-scale analysis and development

• Experience with regulated data and knowledge of healthcare privacy and medical device software standards is a plus

• Effective communication skills and ability to collaborate with clinicians, engineers, product leaders, and regulatory partners

• Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.