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