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21/08/2025
Location: Netanya
Job Type: Full Time
We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our Machine Learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, Machine Learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. Support reproducibility and consistency across model training environments. Implement and manage Artifactory. Establish and maintain model registries to track versions, metadata, and lineage. Automate model promotion through staging, testing, and production environments. Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments Optimize GPU/CPU resource utilization and cost efficiency. Implement auto-scaling and load balancing strategies for ML workloads. Manage version control systems (e.g., Git) and integrate with experiment tracking tools. Handle Storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.
Requirements:
Qualifications: 3+ years of experience in MLOps, DevOps, or related engineering roles. Hands-on experience with ML pipelines and orchestration tools (e.g., MLflow, Airflow, Kubeflow). Proficiency with Docker, Podman, Kubernetes, and containerized deployments. Experience with cloud platforms Azure (AWS/GCP) and hybrid infrastructure setups (on-prem + cloud). Strong understanding of model versioning, packaging, and deployment best practices. Solid knowledge of Git, CI/CD tools (e.g., Jenkins, GitHub Actions, BitBucket pipelines), and monitoring stacks. Proficiency in Python Bash, and infrastructure tools.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8312622
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Location: Netanya
Job Type: Full Time
We are seeking a skilled and passionate Machine Learning Engineer who combines strong software engineering expertise with a deep understanding of data science and machine learning. In this role, you will be instrumental in developing and improving our ML systems, ensuring that both the underlying infrastructure and the algorithms powering our models are optimized for performance and scalability.
You will collaborate closely with cross-functional teams, including data scientists and software engineers, to implement end-to-end machine learning models that drive impactful business outcomes. Additionally, your work will ensure the continued improvement of our ML platform, which supports algorithmic work across the company.
What will you do?
As a Senior Machine Learning Engineer, your mission will be:
Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Create, design, develop, test and monitor your code in production autonomously and reliably.
Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
Mentor other team members to improve their autonomy and Software Engineering skills.
Collaborate with variety of teams for production cases to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.
Requirements:
Strong programming skills with a focus on Python, Java, Scala and proficiency in software engineering practices such as testing, debugging, and performance tuning.
Hands-on experience implementing machine learning algorithms, particularly in production environments.
Strong problem solving skills.
Strong communication skills, with the ability to collaborate effectively across teams and explain complex technical concepts clearly.
Bonus Points:
Knowledge of Data Engineering tools (e.g. Spark, Airflow, ...).
Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch,..).
Performance engineering capabilities, including profiling and optimizing algorithms and systems for high efficiency and low latency.
Experience working with cloud-based infrastructures (e.g., AWS, GCP).
A Masters or PhD in SC/Math.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8276179
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Netanya
Were looking for talented students pursuing a degree in Computer Science or related fields, who are passionate about supercharging their software engineering skills. Our scale is unparalleled: our systems process 8+ million requests per second and 250+ TB of data per day! If youre looking to get real-world experience solving unique technical challenges at massive scale, and doing so with an amazing team by your side, weve got you covered.
What can you expect?
Become a part of a small and independent team of experienced engineers.
End-to-end ownership of a specific research project and performing individual research (under the mentorship of our experienced data scientists).
Dont just write code - solve real problems! Collaborate with product managers, engineers and others from the earliest stages of your project to create real impact.
Working closely with our data scientists and software engineers to epand and enhance our data pipelines and infrastructure.
Gain experience with the most widely used, industry-standard tech: languages you might end up using include Golang, Java, Python, Javascript and more, depending on your project and the team you will join.
Learn modern software development practices: code reviews, technical specs, design reviews, postmortems, automated testing and more
Deploy your code to thousands of production servers several times a day with a single click through our state-of-the-art continuous integration tooling!
Grow your skills & share your learnings with others through internal tech talks and knowledge sharing sessions!
Requirements:
Currently in the process of obtaining a Masters or PhD degree.
Knowledge in fields related to artificial intelligence, machine learning, data science, computer vision, natural language processing, optimisation, computer science, statistics or applied mathematics.
Some experience in solving analytical problems using quantitative approaches and analyzing large scale high-dimensionality data.
Practical knowledge of at least one of the following programming languages: Python, Java, Go, C, C# (Knowing TensorFlow and the SciPy stack is a plus).
Ability to write clean, maintainable, well-tested code.
Good knowledge of software engineering fundamentals.
A strong desire to learn and grow as a member of a talented engineering team.
A positive attitude - even when things get tough.
Great communication and collaboration skills.
Reliability - you are a trustworthy person others can count on.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8276165
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