As a key member of our team, you'll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects. You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability. In this role, you'll be embedded inside a vibrant team of machine learning engineers and data scientists. You'll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metric. You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives. If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world. Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects. Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment. KEY RESPONSIBILITIES - Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms - Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection. - Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow - Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis. - Work with resources in cross-functional teams and the factory to integrate ML applications - Abilities to independently learn new technologies prioritize tasks and take ownership and meaningfully present results of analyses in a clear and impactful manner
