GlobalLogic logo

Senior Machine Learning/Generative AI Engineer

GlobalLogic

Job Description

We are seeking a highly skilled and motivated Senior Machine Learning/Generative AI Engineer to join our dynamic team at GlobalLogic. This role focuses on developing, deploying, and optimizing Large Language Models (LLMs) for chatbot applications. You will work on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users.

Key Responsibilities

  • Design and Implement Chatbot Solutions: Utilize Large Language Models such as OpenAI GPT API or similar frameworks to design and implement chatbot solutions.
  • Collaborate with Cross-Functional Teams: Work with various teams to integrate chatbot solutions into existing platforms and workflows.
  • Optimize and Fine-Tune Models: Enhance LLMs for performance, accuracy, and user engagement.
  • Build and Optimize Databases: Develop and optimize RAG and vectorized databases.
  • Monitor and Evaluate Performance: Continuously assess the performance of chatbot applications, identify areas for improvement, and implement updates.
  • Stay Updated: Keep abreast of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
  • Documentation: Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
  • Data Collaboration: Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
  • Security Implementation: Implement security measures to protect sensitive information processed by chatbots.

Requirements

Required:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
  • Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, and Hugging Face Transformers.
  • Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
  • Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
  • Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred:

  • Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
  • Certifications or advanced training in machine learning, cloud architectures, or similar fields.
  • Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

What We Offer

  • Empowering Projects: Work on groundbreaking projects that leverage cutting-edge technologies.
  • Empowering Growth: Continuous learning and professional development opportunities.
  • Diversity, Equity, and Inclusion: A commitment to providing equal opportunities and fostering an inclusive work environment.
  • Career Development: Abundant opportunities for growth and career advancement.
  • Comprehensive Benefits: A benefits package that prioritizes the overall well-being of our consultants.
  • Flexible Opportunities: Work-life balance with flexible opportunities tailored to your lifestyle, including relocation and rotation options.

Join us at GlobalLogic, a leader in digital engineering, and help us design and build innovative products, platforms, and digital experiences for the modern world.

Benefits
Extracted with AI

  • Comprehensive benefits package
  • Flexible work opportunities
  • Career development opportunities
  • Diversity, Equity, and Inclusion initiatives
  • Relocation and rotation options

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