- 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.
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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.
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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.
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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.
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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.
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Candidates should have a solid foundation in statistical analysis and data manipulation, which are integral to the role.
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Familiarity with programming languages such as Python or R is needed to facilitate the implementation of data science projects.
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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.
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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.
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Experience with Generative AI technologies and familiarity with Langgraph for enhanced data visualization and analysis are good to have.
Data Scientist/ AI ML, Machine Learning, Advance AI ML Algorithms, Langgraph, Gen AI
