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GlobalLogic

Senior ML/GenAI Engineer

Remote Senior $4.7k–$12.8k/moest.

Summary

GlobalLogic seeks a Senior ML/GenAI Engineer to develop and optimize Large Language Models for chatbot applications. This role focuses on designing cutting-edge conversational AI solutions and integrating them into enterprise platforms using the latest AI technologies.

What you'll do

  • Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks
  • Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows
  • Optimize and fine-tune LLMs for performance, accuracy, and user engagement
  • Build and optimize RAG and vectorized databases
  • Monitor and evaluate chatbot application performance, identifying areas for improvement
  • Stay current with AI, machine learning, and NLP developments
  • Develop and maintain documentation for ML models, deployment details, and performance metrics
  • Work with data engineers on data availability and quality for training
  • Implement security measures for sensitive information processing
  • Participate in pre-sales activities including developing ML offering materials and client engagement

Requirements

Required:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • 5+ years of experience in machine learning and NLP with focus on LLM-based applications
  • Proficiency in Python and frameworks like TensorFlow, PyTorch, Hugging Face Transformers
  • Experience with cloud services (AWS, Azure, GCP) for deploying ML models
  • Strong understanding of RESTful APIs for chatbot integration
  • Familiarity with Git and ML development tools (Jupyter Notebooks, MLflow)
  • Excellent problem-solving skills and ability to work in collaborative, fast-paced environments

Preferred:

  • Knowledge of front-end technologies (HTML, CSS, JavaScript)
  • Certifications in machine learning or cloud architectures
  • Open-source contributions in ML/NLP domain

Conditions

Benefits & Culture:

  • Culture of caring with inclusive work environment
  • Continuous learning and development opportunities with Career Navigator tool
  • Meaningful and impactful project work on cutting-edge solutions
  • Flexible work arrangements and balance between work and life
  • High-trust organization with emphasis on integrity and ethics

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