5+ years of experience as an ML Engineer or Applied ML Engineer. Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, or JAX). Hands-on experience training or fine-tuning ML models or LLMs. Solid understanding of ML pipelines: data ingestion, preprocessing, training, evaluation, and serving. Familiarity with security and Responsible AI concepts (data integrity, bias, robustness). Preferred Requirements Experience building AI Guardrails and knowledge of LLM fine-tuning techniques (LoRA, QLoRA, PEFT, adapters) and related tooling (Hugging Face, LLaMA Factory, Unsloth). Knowledge of training-time attack vectors (data poisoning, backdoor attacks, distribution shift) and experience implementing data scanning, validation, or quality checks in ML pipelines. Experience integrating evaluation tools (security, safety, or RAI) into CI/CD or ML pipelines; exposure to secure ML build practices (experiment tracking, versioning, lineage). Familiarity with governance or compliance-driven ML workflows; Java/Kotlin/Rust is a bonus. What Lenovo Can Offer You: Health & Disability Insurance Pension/ Retirement Plan Meal vouchers Employee Referral Bonus Lenovo and Motorola Product Discounts Employee Assistance Program Internal E-learning Development Platform Available for Employees
