Machine Learning Engineer

Keyless; Roma; In loco; EUR 50.000 - 90.000; Tempo pieno

Descrizione del lavoro

An innovative company is seeking a Senior Machine Learning Engineer to lead the development of advanced biometric solutions. In this pivotal role, you will leverage your expertise in machine learning to create and optimize models focused on Liveness Detection and Face Recognition. You will oversee the entire machine learning lifecycle, ensuring that cutting-edge technology is effectively deployed. Join a dynamic, multi-national team and contribute to impactful projects that redefine biometric security. This position offers a competitive salary, equity options, and numerous perks, including the flexibility to choose your laptop and enjoy free accommodations when visiting the Rome office.

Servizi

Employee Stock Ownership Plan

Laptop of your choice

Summer retreats

Company merchandising

Social dinners

Free accommodations & food in Rome office

Competenze

• 5+ years of experience in machine learning or related fields.
• Proficient in Python with strong programming skills.

Mansioni

• Develop and deploy machine learning models for biometric solutions.
• Manage the end-to-end machine learning lifecycle.

Conoscenze

Python

C++

Machine Learning

Liveness Detection

Face Recognition

Quantization

Pruning

Software Engineering

Strumenti

TensorFlow

PyTorch

Docker

CI/CD

MLflow

Descrizione del lavoro

Your mission

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.

Your profile

• 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