Generative AI Developer

Role Overview: At Visteon, the work you do is both relevant and recognized, not just by the organization, but by peers, industry-leading brands, and millions of drivers around the world. As a truly global technology leader in the mobility space, focused on building cross-functional and cross-cultural teams, you will be connected with people who help you grow. Whatever you do at Visteon is not just a job but a mission. Visteon, being a multi-billion-dollar leader of disruptive change in the industry, is shaping the future and enabling a cleaner environment amidst the mobility revolution. Key Responsibilities: - Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies adopted by Visteon globally. - Leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteon's strategic initiatives. - Identify opportunities for AI-driven improvements, design and implement scalable ML models, and integrate these models into existing systems to enhance operational efficiency. - Collaborate with cross-functional teams and stakeholders to ensure that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteon's technological capabilities. Qualification Required: - Extensive expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). - Proficiency in backend development for Python using FastAPI and Django Rest. - Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. - Experienced with cloud platforms (preferably Microsoft Azure) for deploying and scaling machine learning solutions. - Expertise in natural language processing (NLP) using Langchain and OpenAI, as well as computer vision tasks such as classification, object detection, and segmentation. (Note: Additional details of the company were not explicitly mentioned in the job description provided.),