AI Software Engineer

2 months ago

Newfoundland and Labrador, Canada Lenovo Full time
About Lenovo

Lenovo is a global technology leader with a revenue of US$62 billion, ranking #217 in the Fortune Global 500. With a workforce of 77,000 people worldwide, we serve millions of customers daily in 180 markets.

We're committed to delivering smarter technology for all, expanding into growth areas that fuel the advancement of 'New IT' technologies, including server, storage, mobile, software, solutions, and services.

Job Summary

We're seeking a talented Software Engineer to develop multiple software applications for our Workstations and supporting devices. As a key member of our team, you'll be responsible for designing, implementing, and testing AI models, as well as optimizing and fine-tuning Large Language Models (LLMs) and Generative AI models for efficient execution on CPUs and GPUs.

Key Responsibilities
  • Develop clean, maintainable code and provide comprehensive technical documentation.
  • Demonstrate proficiency in server-side and client-side debugging techniques,.NET database access methods, and SQL.
  • Implement and develop comprehensive AI models, including their testing and validation within AI infrastructure.
  • Optimize and fine-tune LLMs and Generative AI models for efficient execution on CPUs and GPUs.
  • Collaborate with the team to integrate workstation applications with AI and LLMs, focusing on performance tuning and diagnostics.
  • Hands-on experience working with predictive data modeling using large datasets.
Requirements
  • Bachelor's degree in computer science, Data Science, Machine Learning, AI, or a related field.
  • ~6+ years of experience with at least one programming language, such as C, C++, Python, or C#.
  • ~2+ years of experience with web development frameworks.
  • 1+ years of experience in AI, machine learning, and data science.
  • Experience working with data modelling and data lake (Azure data lake, snowflake etc.).
  • Experience working with Linux/UNIX operating systems with the knowledge of system fundamentals.
What We Offer

We offer a hybrid work environment, supporting 3 days onsite and 2 days remote. Candidates local to Raleigh, NC are preferred. We're an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment based on protected class.

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