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Advanced Machine Learning Engineer

3 weeks ago

Tiruchi, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Discover your potential as a Senior Software Engineer specializing in Machine Learning. In this role, you will be part of a dynamic team that is revolutionizing the way professionals connect and grow in their careers.

">About the Role

You will work on cutting-edge projects that involve building advanced models to capture semantic meaning, designing ranking systems for search relevance, and deploying large-scale classification models. Your expertise in Machine Learning and data analysis will help drive business growth and transform lives through innovative products and technology.

">Responsibilities
  1. Develop Embedding Models: Design and train embedding models to capture semantic meaning of companies, people, and signals for retrieval and ranking.
  2. Design Ranking Systems: Create ranking systems that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
  3. Deploy Classification Models: Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
  4. Mentor Junior Engineers: Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
Requirements
  • Master's Degree or Bachelor's Degree with 5+ years of experience
  • 5+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training
Preferred Qualifications
  • Ph.D. in computer science, statistics, engineering, mathematics, or similar quantitative discipline
  • Understanding of standard programming and software engineering practices
  • Proven track record of publishing at academic and industry venues
Benefits

We offer generous health and wellness programs, time away for employees of all levels, and opportunities for professional growth and development.