AI Model Development Specialist

2 days ago

Tirupati, Andhra Pradesh, India beBeeMachineLearning Full time US$ 20,00,000 - US$ 25,00,000
Machine Learning Engineer Opportunity

We're building a platform that enables professionals to achieve their career goals and positively impact the global workforce.

Our platform aggregates millions of posts, videos, and articles daily, generating tens of thousands of comments every hour and millions more shares and likes.

As a senior software engineer in machine learning, you'll be responsible for developing cutting-edge projects, including Agentic and GenAI-powered search and recommendation systems, as well as tuning and applying domain-specific LLMs.

You'll have the opportunity to collaborate with experienced AI engineers and cross-functional partner teams in Engineering, Product Management, and Design.

By joining our fast-growing team, you'll experience the excitement of working in a startup along with the scale and technology of a world-class enterprise.

Key Responsibilities:
  • Develop advanced embedding models to capture semantic meaning for retrieval and ranking.
  • Design and train ranking models that optimize search relevance and entity discovery.
  • Build large-scale classification models to automatically tag industries and buyer intent.
  • Deploy and monitor production ML pipelines for embedding generation and continuous retraining.
  • Own end-to-end model development and deployment in large-scale production environments.
  • Mentor junior ML engineers in applying advanced machine learning techniques.
  • Represent us in academic and industry circles by showcasing our innovation and scientific expertise.

Basic Qualifications:
- Master's degree or Bachelor's degree with 5+ years of work 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
- 5+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
- Understanding of standard programming and software engineering practices
- Proven track record of publishing at academic and industry venues
- Ability and eagerness to program

Culture Benefits:
Generous health and wellness programs and time away for employees of all levels.

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