Assoiciate Engineer

Senior Engineer - AI, with Automotive domain having 0-30 years of experience, will lead the design and implementation of advanced AI and machine learning algorithms to solve complex problems. The ideal candidate will possess extensive knowledge and practical experience in Data Science and Artificial Intelligence, particularly in Machine Learning and Advanced AI ML Algorithms. Proficiency in Machine Learning is crucial as it involves developing predictive models and algorithms that can analyze data and learn from it to make informed decisions. Candidates should demonstrate intermediate to advanced skills in various Machine Learning techniques, including supervised and unsupervised learning, and must be able to apply these techniques in real-world scenarios to derive actionable insights. In addition, familiarity with Advanced AI ML Algorithms is essential, including understanding deep learning frameworks and the ability to implement algorithms such as neural networks and decision trees. Candidates should have a solid foundation in statistical analysis and data manipulation, which are integral to the role. Familiarity with programming languages such as Python or R is needed to facilitate the implementation of data science projects. The education requirements include a Master of Technology (M.Tech) in Artificial Intelligence or a Master of Science (M.Sc) in Data Science, which equips candidates with the theoretical and practical knowledge necessary to excel in this role. Preferred certifications include Certified Artificial Intelligence Practitioner (CAIP) and AWS Certified Machine Learning – Specialty, which would be advantageous in demonstrating professional competence and expertise in the field. Experience with Generative AI technologies and familiarity with Langgraph for enhanced data visualization and analysis are good to have.