AI/Machine Learning Engineer

Job Description

  • Design and deliver NLP models for AI Platform Services
  • Work on prototyping proof of concepts and data creation/manipulation for training.
  • Understand ML frameworks (Tensorflow, HuggingFace) and extend them for various NLP tasks for fine tuning models
  • Hands on coding for various aspects for AI Platform Services.
  • Collaborate with product managers, other cross functional teams and continuously improve AI Platform Services.
  • Collaborate with other development teams to ensure system performance (latency and accuracy), security, scalability, and availability.

About You

  • 3 years Industry experience with research and product development.
  • Strong expertise in Python programming and solid understanding of OOPs and software engineering principles.
  • Good understanding of REST API’s. Design and deliver API’s using Flask/Django.
  • Solid understanding and hands on experience on various NLP techniques including data collection and training large datasets.
  • Have good understanding of Transformer based language models and hands on experience on fine tuning them for various applications. Demonstrated experience in building models using ML Frameworks like PyTorch, Tensorflow, HuggingFace etc.
  • Ability to work independently and design experiments with end goal in mind, analyze and interpret results.
  • Strong interpersonal and effective communication (both written and verbal) skills and the ability to present complex ideas in a clear concise way, to different audiences. A team player with good work ethics.

Desirable skills

  • Good understanding of Cloud fundamentals and services, preferably AWS services.
  • Familiarity with modern web application/microservices framework like Spring boot, Node.
  • Eager to keep abreast with new trends in CX and use of AI for automation.

Key Skills

Automation; Usage; Coding; Machine learning; Cloud; Back office; Data collection; Genetics; Research; Python

About Company

Genesys Telecommunications Laboratories

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