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Lead Product Engineer
3 months ago
Job DescriptionJob Title: Lead Product EngineerSalary: CompetitiveLocation: Bangalore
Job PurposeWe are looking for a Lead Product Engineer with proven Deep Learning experience in Generative AI, Large language models, Multi-modal models, who will be an integral team member in designing, innovating and building cutting-edge DL products. You will work with other product developers while collaborating with the sales and marketing teams throughout the product development life cycle. In this role, you are expected to guide, mentor and lead the team, with attention to detail with good problem-solving skills.
Responsibilities of the individualWork closely with technical and product development team to develop DL based productsDesign, research and architect DL end-to-end systems through their lifecycleDistil business objectives into technical solutions through effective system design and architectureDemonstrate strong problem solving and systems thinking skills in product development and project executionResponsible for prevention and early detection of defects through verification and validation activities, ensuring the integrity and quality of all work products
Team LevelWork independently on projects and products while guiding, mentoring and leading the tech team through the product lifecycleInterface with customers and external stakeholders throughout product development and for project executionBe able to communicate effectively with team and leadership, on all aspects of product development cycle
Experience requiredAt least 6 years of cumulative experience in software/algorithm development and product development lifecycle, in areas such as computer vision, ML, DL, LLM based foundational modelsAt least 3 years of hands-on experience building deep learning solutions2+ years of direct experience with working and leading agile teamsExperience in using DL platforms, technologies, and techniques (e.g. Pytorch, TensorFlow, Apache,Keras, scikit-learn, H2O, and Spark MLlib, Large Language Models)Hands-on experience with image/video analysis frameworks using PythonExperience in AI deployment frameworks such as TensorRT, TensorflowLite.Awareness of Andriod based development environment for integration of NN based models deployment
QualificationBachelor, Master’s degree or Ph. D in Computer Science, Electrical Engineering, or equivalent