C-DAC Adjunct Engineer - Machine Learning Solution Architect / Techno Functional Specialist

Key Skills

AI technology, Data science techniques, English Proficiency, Hindi language, Lexical search, Machine learning techniques, Natural Language Processing (NLP), Semantic Technologies

Job Description

• Name of Post: CAE - I
• Specialization/ Domain: C-DAC Adjunct Engineer - Machine Learning Solution Architect / Techno Functional Specialist
• of Requirements: 1
• Job Location: Delhi
• Desired Educational Qualification and specialization: B.E/B.Tech/MCA or equivalent degree in relevant discipline

OR

• Master in Technology (M.Tech.)/ Masters in Engineering (M.E.) in relevant discipline

OR

• 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.