Machine Learning Engineer
Skills
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Python
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PyTorch
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TensorFlow
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OOP
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CI/CD
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Git
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Docker
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Kubernetes
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Artifactory
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TFS
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CUDA
We are looking for a Machine Learning Engineer to join our AI Research & Development group in Holon
In this role, you’ll be part of a large, multidisciplinary team of AI researchers, working closely with algorithm developers, data engineers, software and hardware engineers
You will be responsible for developing the working environment and leading the transition from research to production
Key Responsibilities
Manage and operate development infrastructures (MLOps)
Optimize ML models and deploy them on hardware (Optimization & Deployment)
Support data engineering activities throughout the data lifecycle
Assist AI researchers in implementing and integrating advanced AI technologies
Requirements
B.Sc. in Electrical Engineering, Data Engineering, Software Engineering, or Computer Science
Strong Analytical And Problem-solving Abilities, With Fast Learning Skills
Excellent interpersonal and communication skills
Ability to work independently and collaboratively within a team
Proficiency in Python and OOP
Proven experience developing modular applications
Solid understanding of DevOps practices (CI/CD, Kubernetes, Docker, Artifactory, Git, TFS)
Advantages
Experience working alongside ML researchers
Proficiency in PyTorch / TensorFlow
Experience with deep learning inference, GPU environments, and CUDA
Only suitable candidates will be contacted*
#Holon
Elbit Systems