Senior Software Engineer- ML/NLP

India, Karnataka-Bengaluru(Remote)

Relyance AI

Relyance AI provides unparalleled visibility into enterprise wide data processing and continually compares it against your contracts, global privacy regulations, and compliance frameworks. So you can prove trust, every time.

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Job Description - Senior ML/NLP Software Engineer

As Relyance AI’s ML/NLP Engineer, you will strategize, drive, and execute on the initiatives in NLP for information extraction from legal documents, ML/NLP for information extraction from code and general ML in code analysis, as well as overall AI backend initiatives. You will partner with cross-functional stakeholders to design and build flexible, powerful, and robust features that scale the impact of AI for our customers. You will work with Large Language Models like GPT-4 and LLaMA 2, as well as models of the scale of T5 or BERT. You will create novel model architectures and ML/NLP techniques, build data curation and model training workflows, and perform error analysis to drive feature development. As a senior engineer, you will be a core member of the team building a system with complex data and nature of predictions that rapidly evolve over time. You will need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy to address present needs. 

As a Senior ML/NLP Software Engineer, your role will include:

  • Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI
  • Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend
  • 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; continuously look for opportunities to automate and build tools to lower operational barriers
  • Being a key member of the team solving its most complex problems with the simple, pragmatic solutions 

This role could be a fit for you if you bring:

  • 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 “get stuff done” 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

Bonus points for:

  • Experience with Information Extraction, Semantic Parsing, practical application of LLMs
  • Experience with a privacy technology
  • Startup experience
  • An advanced technical degree
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow Architecture BERT BigQuery Engineering GPT GPT-4 Java LLaMA LLaMA2 LLMs Machine Learning Model training NLP PhD Privacy Python Scala Vertex AI

Perks/benefits: Flex hours Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India

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