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Senior Lead Product Engineer - Machine Learning / Deep Learning

Senior Lead Product Engineer - Machine Learning / Deep Learning

Zyoin GroupGurugram
17 days ago
Job description

Responsibilities :

  • Work in a collaboration of machine learning engineers and data scientists.
  • Work on various disciplines of machine learning, including but not limited to a variety of disciplines, including deep learning, reinforcement learning, computer vision, language, speech processing, etc.
  • Work closely with product management and design to define project scope, priorities, and timelines.
  • Work closely with the machine learning leadership team to define and implement the technology and architectural strategy.
  • Take partial ownership of the project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks / mitigations, course corrections, trade-offs, and delivery.
  • Deliver and maintain high-quality, scalable systems in a timely and cost-effective manner.
  • Recognizing potential use cases of cutting-edge research in Sprinklr products and implementing your own solutions for the same.
  • Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow.

Requirements :

  • Degree in Computer Science or related quantitative field, with relevant experience from Tier 1 colleges.
  • At least 2 to 3 years of Deep Learning Experience with a distinguished track record on technically fast-paced projects.
  • Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers.
  • Experience with large language models(GPT-3 Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch).
  • Working experience of software engineering best practices, including coding standards, code reviews, SCM, CI, build processes, testing, and operations.
  • Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs.
  • (ref : hirist.tech)

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