ml engineer for enterprise AI

Lenovo is a global technology company serving customers in 180 markets with AI-enabled devices, infrastructure, software, solutions, and services. It operates as the world’s largest PC company and invests in technologies designed to deliver smarter technology for all.

• Develop Generative AI and Agentic AI software solutions and platforms aligned with Lenovo’s strategic goals and enterprise technical standards;
• Build AI solutions, including architectures, inference engines, agents, and user interfaces;
• Develop end-to-end AI systems using LLMs, SLMs, VLMs, MCP, and open-source frameworks;
• Integrate AI solutions into existing platforms and systems, including on-premise and edge implementations;
• Identify and implement AI tools, frameworks, and technologies that improve solution effectiveness and efficiency;
• Incorporate security measures including data encryption, access controls, and vulnerability assessments;
• Implement AIOps and AI development best practices for experimental and production environments;
• Follow coding guidelines and best practices to deliver high-quality, maintainable AI software;
• Produce documentation covering system diagrams, data flows, integration points, and technical specifications;
• Stay current with AI advancements and propose innovative implementation strategies;
• Participate in pre-sales discussions, solution design sessions, and RFP/RFI responses for enterprise AI opportunities;
• Communicate technical concepts and solution approaches to technical and non-technical stakeholders.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field;
• 5+ Years of experience in AI development and implementation across data science, machine learning, NLP, computer vision, or Generative AI;
• 2+ Years of experience developing end-to-end Generative AI solutions, including multimodal solutions using NVIDIA, cloud-based LLMs, or open-source models;
• Strong knowledge of on-premise and cloud environments, including containerization and scaling with Kubernetes;
• Experience implementing MLOps, LLMOps, or AIOps and managing CI/CD pipelines for AI deployment using Jenkins, GitLab, or similar tools;
• Strong programming skills in Python, React, and scripting languages;
• Nice to have: experience with NVIDIA technologies such as GPUs, CUDA, and TensorRT, and integration of NVIDIA AI Enterprise tools in on-premise solutions.

• Office-based role in Warsaw, Mazowieckie, Poland.