Senior LLM Engineer — Conversational AI

Hitachi Vantara Corporation; Poland; On-site; PLN 250,000 - 420,000; Full time

Benefits offered by this job

Empowering Projects

Empowering Growth

DEI Matters

Career Development

Comprehensive Benefits

Flexible Opportunities

Job summary

GlobalLogic is seeking a highly skilled Machine Learning Developer to advance Large Language Models for chatbot applications. This role emphasizes designing, deploying, and optimizing LLM-based conversational agents to provide engaging user interactions.

The ideal candidate has 7+ years in ML/NLP, strong Python and ML frameworks, and cloud deployment experience across AWS, Azure, or GCP. Collaboration and security-minded development are essential for success.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in machine learning and NLP, focusing on LLM-based applications.
• Proficiency in Python and frameworks/libraries like TensorFlow, PyTorch, 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 platforms.
• Familiarity with version control tools (Git) and ML development tools (Jupyter Notebooks, MLflow).
• Participation in pre-sales activities, including developing ML offering materials and engaging with clients.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Responsibilities

• 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 the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date with developments in AI, ML, and NLP to keep solutions cutting-edge.
• Develop and maintain documentation related to ML models, including design, deployment details, and performance metrics.
• Work with data engineers to ensure data availability and quality for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots.

Skills

Python

TensorFlow

PyTorch

Hugging Face Transformers

LLMs

NLP

REST APIs

Git

Jupyter Notebooks

MLflow

AWS

Azure

GCP

Pre-sales

Problem Solving

Education

Bachelor's in CS/AI/ML

Master's in CS/AI/ML

Tools

AWS

Azure

GCP

Job description

GlobalLogic is seeking a highly skilled Machine Learning Developer to advance Large Language Models for chatbot applications. This role emphasizes designing, deploying, and optimizing LLM-based conversational agents to provide engaging user interactions.

The ideal candidate has 7+ years in ML/NLP, strong Python and ML frameworks, and cloud deployment experience across AWS, Azure, or GCP. Collaboration and security-minded development are essential for success.