Senior Software Engineer, ML/NLP

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Relyance AI

๐Ÿ“Remote - India

Job highlights

Summary

Join our team as a Senior ML/NLP Software Engineer and drive the development of cutting-edge AI features for our customers. As a key member of the team, you will strategize, execute, and design innovative solutions using Large Language Models like GPT-4 and LLaMA 2. With a strong track record in building ML and NLP solutions, you will partner with cross-functional stakeholders to create powerful, robust, and flexible features that scale the impact of AI.

Requirements

  • 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions; or a PhD in relevant field preferably with industry experience
  • Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc
  • Strong data structures, algorithms, and OO software design and implementation skills
  • Ability to learn and operate across full stack, from ML and NLP systems, to cloud infrastructure, to AI backend
  • Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible solutions
  • A โ€œget stuff doneโ€ attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment
  • A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems
  • Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers

Responsibilities

  • Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products
  • Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets
  • Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques

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