Attiva gli avvisi di lavoro via e-mail!

Machine Learning Engineer

Keyless

Reggio Emilia

In loco

EUR 50.000 - 90.000

Tempo pieno

3 giorni fa
Candidati tra i primi

Genera un CV personalizzato in pochi minuti

Ottieni un colloquio e una retribuzione più elevata. Scopri di più

Inizia da zero o importa un CV esistente

Descrizione del lavoro

Keyless seeks a Senior Machine Learning Engineer to develop and implement advanced ML models powering biometric solutions. The role focuses on Liveness Detection and Face Recognition, requiring extensive experience in machine learning and programming skills. You'll work in a dynamic, multi-national team, enjoying competitive compensation and various employee perks.

Servizi

Competitive salary with potential for overpayment
Employee Stock Ownership Plan
Laptop of your choice
Summer retreats and social dinners
Free accommodations & food when visiting the Rome office

Competenze

  • 5+ years of experience in a similar role.
  • Strong programming and software engineering skills in Python.
  • Experience in machine learning frameworks like TensorFlow or PyTorch.

Mansioni

  • Develop and deploy cutting-edge machine learning models.
  • Take ownership of the end-to-end machine learning lifecycle.
  • Optimize and deploy models focusing on biometric solutions.

Conoscenze

Python
Machine Learning
TensorFlow
PyTorch
C++
Docker
CI / CD
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

J-18808-Ljbffr

Ottieni la revisione del curriculum gratis e riservata.
oppure trascina qui un file PDF, DOC, DOCX, ODT o PAGES di non oltre 5 MB.