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Machine Learning Engineer at Billennium

extra holidays - extra parental leave
Remote: 
Full Remote
Experience: 
None
Work from: 

Offer summary

Qualifications:

Proficiency in Python and ML libraries, Experience with ML workflows and cloud platforms, Knowledge of DevOps for ML pipelines, Experience with AWS SageMaker, Terraform preferred.

Key responsabilities:

  • Build and deploy ML models for business goals
  • Collaborate with teams on ML solutions
  • Implement ML best practices and streamline workflows
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Billennium Information Technology & Services Large https://www.billennium.com/
1001 - 5000 Employees
See more Billennium offers

Job description

As a Machine Learning Engineer, you'll design, build, and deploy scalable ML solutions, collaborating with teams to solve complex problems. You'll implement best practices, streamline workflows, and ensure robust model performance.


Key Responsibilities:

  • Build and deploy ML models to address business challenges.
  • Collaborate with Data Scientists and Engineers on ML solutions.
  • Apply ML Engineering best practices and integrate DevOps principles.


Qualifications:

  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch).
  • Experience with ML workflows and cloud platforms (AWS, Azure, GCP).
  • Knowledge of DevOps for ML pipelines.


Preferred:

  • Experience with AWS SageMaker, Terraform, or similar tools.


Join us to drive impactful ML solutions! Click "Apply" to learn more. 🚀

Required profile

Experience

Level of experience: None
Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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