Adjunct Engineer - I (CAE – I)

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Name of Post CAE - I
Specialization/ Domain C-DAC Adjunct Engineer - Machine Learning Solution Architect / Techno Functional Specialist
No. of Requirements 1
Job Location Delhi
Desired Educational Qualification and specialization B.E/B.Tech/MCA or equivalent degree in relevant discipline
Master in Technology (M.Tech.)/ Masters in Engineering (M.E.) in relevant discipline
Ph.D. in relevant discipline
Post Qualification relevant Experience 8 years and above in relevant discipline
Max Age 57 years at the time of the submission of application
Desired Skill Sets
  • Strong knowledge in AI / ML / DL / AR-VR / Cognitive Neuroscience
  • Excellent knowledge and experience in development of machine learning and AI based applications.
  • Excellent understanding of data analysis, modeling, machine learning and deep learning concepts and state-of-art best practice in emerging technologies.
  • Exposure for working project documentations i.e. Proposals, Concept Note, SRS and reports
  • Hands on with MATLAB, tools on Brain signal Analysis and cognitive assessment
  • Research oriented approach with good problem solving and communication skills
  • Experience in leading teams focused on creating detailed algorithms and data models.
  • Research-minded, ability to run experiments independently and present results to leadership.
  • Outstanding ability to think creatively, identify and resolve problems.
  • Excellent Communication, time management and multitasking skills.
Proposed Job Profile
  • Technical implementation of algorithms along with the assistance in Design & Architecture and initializing new research area
  • Documentation support in project proposals & Concept notes
  • Effective Team monitoring & communication with stakeholders
  • To understand requirements, architecture decisions, assess feasibility and provide time estimates on implementing new features and functionalities.
  • Training, testing and validation of developed algorithms for custom solutions.
  • Deployment of build models for real-time applications and deployment in production environment.
  • To be able to manage multiple concurrent customers facing engagements involving multidisciplinary teams.
  • Resource Planning, Developing Schedules, Time Estimating, Cost Estimating, Developing a Budget, Creating Charts and Schedules, Risk Analysis & Managing Risks and Issues, Monitoring and Reporting Progress
  • Responsible for preparing reports and presentations, implementation plan document, etc., as needed for the project with ability to deliver timely and quality outcomes individually and also as a team player.
Consolidated Pay Per Month As per the industry standards based on qualification, experience, expertise, role etc.
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Centre for Development of Advanced Computing (C-DAC)
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