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| Job Location | Coimbatore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Manufacturing |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Job DescriptionSoftware Engineer Artificial Intelligence/Machine Learning in Automobile ApplicationsResponsible for developing AI/ML and Data science based functions in Automotive Domain spanning from core engine and vehicle management to fleet management applications. Feature engineering through data analytics techniques for identifying underlying relations and patterns for highly safety critical and challenging scenarios demanding extremely high accuracy targets. Development of predictive algorithm for calculating the useful life of the component to pin point exact failure points well ahead of failure and feed forward open loop systems. Technical support for the sales team in convincing the scope and accuracy of AI and data based algorithms in various vehicle applications with the customers.SKILL s1.Highly competent in Deep Learning algorithms using neural networks, LSTM, RNN, ANN etc with expertise in defining the optimized layer approaches and architecture through data engineering techniques with a project experience in a real world application2. Expertise in effective model/network tuning techniques for regressions and classifications and should be able to very clearly identify the fine tuning techniques and optimizers based on the kind of problem3. Experience in using reinforcement learning in real world application with expertise in fine tuning learning agent through indirect function modeling approaches4. Expertise in developing predictive algorithms with machine learning for applications like component life prediction through failure feature progression and developing feed forward algorithms for effective replacement of closed loop systems5. Expertise in the area of Computer Vision for applications like obstacle recognition, facial expression analysis, event detection through converted physical characteristics etc. Strong competency in using pre-trained models6. Knowledge in Natural Language Processing techniques7. Hands on experience in programming in C, Python, SQL etc and strong competency in the machine learning library functions and data preprocessing techniques and expertise on development of APIs for cloud deployment of models(ML-OPs),
Keyskills :
javasqljavascriptsql serverjquerynatural language processingclosed loopdata sciencedeep learningdata analyticscomputer visionneural networkssafety criticalmachine learningfleet management