Senior Research Engineer - LLM

10 - 15 years

9 - 13 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Develop, execute, implement and check methods, plans, toolsets and approaches that are appropriate and compliant to achieve digital solutions for the process intended Identify technical problems and apply/integrate solutions as needed with a set based design approach Analyse customer requirements and define technical solutions as input for proposals to develop proof of concepts Work with cross functional teams and multiple sites during the development process Generate assigned project deliverables, documents, and reports according to the project milestones Support and participate in technical reviews, including the creation and preparation of technical data and presentations as needed and support other engineers with peer to peer reviews Support Lean culture and improvement initiatives in the organisation Take part in regular sprint planning meetings to plan, review and deliver outputs based on agile philosophy Support in creation of training material and knowledge sharing in the relevant area of work Support idea generation and CI activities Perform all activities independently and help other engineers within the program as required. Bachelors in Engineering or higher, with minimum of 10 years of relevant experience Automation & Software development. Design data pipelines to handle large-scale data for training, ensuring data security and compliance with aerospace and defence standards. Excellent experience in shop floor automation and I4.0/IOT Integration Excellent Understanding of Industrial Communication protocols and establishing communication between different Industrial systems. Good knowledge of data structure, data modelling and database architecture Good Knowledge of implementing business process into functional codes Excellent knowledge of software coding , integrated development platforms Proficiency in programming with python, C++,C, C#, Java, .NET, VB, SQL and working knowledge in GIT Ability to conduct POCs and guide team members to extract valuable insights and drive data-driven decision-making. Evaluate and select appropriate tools and applications for tasks. Strong software development skills, including version control (e.g., Git), debugging, testing, and documentation. Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) is beneficial. Stay updated with latest developments in Automation, Software Development, NLP, ML, AI, LLM technology around the globe relevant to aerospace and defence sector and work along with team to quickly leverage, test and validate new solutions applicable to the working projects by applying cutting edge technologies. Should have strong problem-solving skills and ability to collaborate with cross-functional teams, including domain experts, data scientists, and engineering teams, to gather requirements and translate them into scalable applications. Bachelors in Engineering or higher, with minimum of 10 years of relevant experience Automation & Software development. Design data pipelines to handle large-scale data for training, ensuring data security and compliance with aerospace and defence standards. Excellent experience in shop floor automation and I4.0/IOT Integration Excellent Understanding of Industrial Communication protocols and establishing communication between different Industrial systems. Good knowledge of data structure, data modelling and database architecture Good Knowledge of implementing business process into functional codes Excellent knowledge of software coding , integrated development platforms Proficiency in programming with python, C++,C, C#, Java, .NET, VB, SQL and working knowledge in GIT Ability to conduct POCs and guide team members to extract valuable insights and drive data-driven decision-making. Evaluate and select appropriate tools and applications for tasks. Strong software development skills, including version control (e.g., Git), debugging, testing, and documentation. Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) is beneficial. Stay updated with latest developments in Automation, Software Development, NLP, ML, AI, LLM technology around the globe relevant to aerospace and defence sector and work along with team to quickly leverage, test and validate new solutions applicable to the working projects by applying cutting edge technologies. Should have strong problem-solving skills and ability to collaborate with cross-functional teams, including domain experts, data scientists, and engineering teams, to gather requirements and translate them into scalable applications.

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