Sony Research India

Machine Learning Consultant

Sony Research India
Secunderabad Not disclosed
5 days ago
On-Site
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About the job

We are looking for highly motivated researchers with experience in Deep Learning Natural Language Processing who can assist our efforts on large-scale user engagement predictive models. Key Responsibilities include developing models, analyzing user behavior patterns, predicting their likelihood of leaving along with plausible reasons contributing to intervention models retaining users, building causal inference based. • Developing foundation model leveraging pre-trained LLMs • Work closely with other scientists & engineers fostering an environment contributing insights participating in workshops & conferences. Work Details • The paid contractual role is extendable starting ideally from December 2025 • Working hours Monday - Friday • Full-time Essential education background: • Candidates have completed PhD/Master degree preferably CS/AI/ML academic field. Must haves include: • Strong applied deep learning practical experience. • Good understanding/handling SQL • Current start art literature. • Prior prediction reasoning large scale datasets • Fine-tuning training LLMs • Proficiency Python one popular deep learning framework • Envision ideas through theory/experiments • Knowledge cloud platform preferable AWS Desirable skills: • PhD thesis area causal inference • Publication record major machine learning conferences including NeurIPS, ICML, KDD, AAAI, SIGIR, RecSys, WSDM, ICDM, ECML

Requirements

  • Deep Learning
  • Natural Language Processing
  • SQL
  • Python
  • Large Scale Datasets
  • Machine Learning

Qualifications

  • PhD
  • Master's Degree in CS/AI/ML

Preferred Technologies

  • Deep Learning
  • Natural Language Processing
  • SQL
  • Python
  • Large Scale Datasets
  • Machine Learning

About the company

Sony's cutting-edge research and development in various locations around the globe, is driving new technology products and services while sustaining Sony's diverse businesses. To foster a diverse pool of research talent, they seek to create a technology bank for worldwide excellence.

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