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Machine Learning Engineer

Keyless

Ferrara

In loco

EUR 50.000 - 80.000

Tempo pieno

2 giorni fa
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Descrizione del lavoro

A leading biometric technology company seeks a Senior Machine Learning Engineer to advance its biometric solutions. This pivotal role will focus on Liveness Detection, Face Recognition, and other cutting-edge technologies, with opportunities for career growth and competitive compensation.

Servizi

Employee Stock Ownership Plan (Equity)
Summer retreats
Social dinners
Competitive salary based on experience
Free accommodations & food when visiting Rome office
Laptop of your choice

Competenze

  • 5+ years of experience in machine learning engineering.
  • Proficiency in Python; familiarity with C++ is a plus.
  • Experience with TensorFlow or PyTorch.

Mansioni

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

Conoscenze

Python
Machine Learning
C++
TensorFlow
PyTorch
Docker
MLflow
Liveness Detection
Face Recognition

Descrizione del lavoro

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

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