• SR Data Scientist - ML & AI (Computer Vision): INTL-India

    Insight GlobalPlano, TX 75026

    Job #2649419922

  • Job Description

    A fortune 100 client is seeking to add to their CTO team, within the enterprise integration and automation for all digital platforms organization. As a Senior Data Scientist in our Machine Learning and AI team, you will play a key role in developing and implementing advanced machine learning models and algorithms with a specific focus on computer vision technology. Your expertise will be crucial in solving complex business problems, enhancing our computer vision capabilities, and driving innovation within our organization. Additionally, you will leverage cloud technologies, particularly Azure and AWS, including AKS and EKS, to ensure the efficient deployment and scaling of machine learning solutions. This is a hands-on role that combines technical expertise, research and development, and collaboration with cross-functional teams. This position is preferred to work out of the office in Telangana 500075, India, on average of 3 days a week. This is a contract to permanent role.

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ~~~ .

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    Skills and Requirements

    * Master's or Ph.D. degree in Computer Science, Electrical Engineering, Statistics, or a related field.

    * Proven experience (5+ years) in developing and deploying machine learning models, with a focus on computer vision applications.

    * Strong understanding of computer vision techniques, including CNNs, image classification, object detection, and image segmentation.

    * Proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and OpenCV.

    * Hands-on experience with cloud platforms, particularly Azure and AWS, including AKS and EKS, for machine learning model training and deployment.

    * Solid knowledge of CI/CD pipelines and experience with tools like Jenkins, Git, and Docker.

    * Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.

    * Experience in deploying machine learning models in production environments.

    * Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

    * Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

    * Proven ability to work on multiple projects simultaneously and deliver high-quality results within deadlines. null

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ~~~.

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