Sr. ML Engineer

1 month ago


Thane, India Talentiser Full time

A fast-growing, series A Bay Area-based AI startup backed by leading investors like Menlo Ventures, Accel and Y-Combinator. We create AI and ML-powered software for the finance and lending industries, focused on repayment and debt recovery. Working to improve conversations between call center agents and customers and provide actionable insights. The products use AI to create next-generation speech analytics that support real-time agent guidance, automated notes after conversations, and call analysis for quality assurance and compliance.

Responsibilities:

  • ML Algorithm Development: Design and implement advanced ML algorithms leveraging traditional Machine Learning techniques and the modern NLP stack, including Large Language Models (LLMs)
  • Data Engineering & Software Development: Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
  • Research & Innovation: Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.
  • Collaboration & Leadership: Effectively collaborate with cross-functional teams to deliver high-quality solutions on time. Guide team members in contributing to ML design discussions for new projects.

Requirements:

  • Extensive experience (4-5 years) in software development, with a focus on machine learning and data science in a tech company.
  • Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
  • Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
  • Strong coding skills in Python. Familiarity with machine learning libraries such as PyTorch and sci-kit-learn. Experience with data manipulation and analysis tools like Pandas and Spark.
  • Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.
  • Ability and willingness to work in person in our Thane office.

Require candidates specifically from SAAS companies and from Tier 1 colleges.

Budget upto 90 LPA


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