Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Keyless 2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. As a Senior Machine Learning Engineer, you will be at the forefront of developing and deploying cutting-edge machine learning models that power biometric solutions at Keyless, with a focus on Liveness Detection , Face Recognition , and related technologies. You’ll take ownership of the end-to-end machine learning lifecycle, from data preparation and model development to optimization and deployment. Required Skills and Qualifications 5 years of experience in a similar role. Proficiency in Python with strong programming and software engineering skills; familiarity with C++ is a plus. Experience in machine learning frameworks such as TensorFlow or PyTorch . Experience with Docker and CI/CD pipelines . Hands-on experience with MLflow or similar tools for managing model lifecycle and versioning. Strong foundational knowledge in Machine Learning . Expertise in areas such as Liveness Detection , Face Recognition , Quantization , Pruning , and large-scale training is a plus. Experience in deploying models on edge / mobile devices is a bonus. Why us? A high-impact role in a growing company with a clear product vision. A growing and diverse, multi-national team of about 50 colleagues from various disciplines. A competitive salary starting with the willingness to overpay based on skills and experience. Employee Stock Ownership Plan AKA Equity in the Company! A laptop of your choice Summer retreats, company's merchandising, social dinners, and many other perks! Free accommodations & food when visiting the Rome office Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Computer and Network Security J-18808-Ljbffr

Location: provincia-di-roma, IT

Posted Date: 5/2/2025