• pin_dropמיקוםחיפה
  • bubble_chartקטגוריהפיתוח תוכנה
  • schoolנסיון3-4 שנות ניסיון
  • workסוג משרהמשרה מלאה

תיאור משרה

Elbit is seeking for an innovative ML Ops engineer with a wide vision and proven background knowledge in the machine learning infrastructure

As a MLOPS engineer you’ll work closely with the company’s DevOPS, data science, research and develop teams to ensure we deliver reliable and accurate data on optimal infrastructure to our users who depend on Interos to keep their companies in action

The ML-OPS will help us to design, build, scale, and lead our data and machine learning infrastructure while dealing with big data challenges, exposing to cutting edge technologies, containerized environments, graph databases and predictive models

Location – Haifa


Offer technical leadership and mentorship to a small group of MLOps engineers

Serve as a subject matter expert for Machine Learning Ops, and partner with functional experts across the company to bring that expertise to bear on some of the hardest and most exciting problems in this space

Own production machine learning pipelines for in-house developed supply chain risk models used by some of the biggest enterprises in the world

Develop systems, tools, & processes to monitor ML models in production, monitoring drift and performance and initiating retraining and validation as necessary

Develop systems, tools, & processes to govern ML models for compliance, bias, versioning, traceability and auditability

Work closely with ML Engineers to advise on implementation. Be critical in the path to getting our talented research team's ideas to market

Recommend and drive architecture/infrastructure to create actionable, meaningful, and scalable solutions for business problems

Establish scalable, efficient, and automated processes for large scale ML model deployments

Manage, monitor, and troubleshoot machine learning infrastructure

דרישות תפקיד

BS Degree in Computer Sciences (or related technical degree with industry experience)

6+ years of hands-on industry experience

3+ years of experience deploying robust machine learning APIs in production environments (ideally cloud-based environments such as GCP or AWS) - from model training and versioning to observability and delivery to consumers

3+ years of team leadership experience

2+ years of experience with Kubernetes

Experience building auto-scaling ML systems

Experience with machine learning lifecycle platforms (MlFlow / Kubeflow)

A passion for creating innovative techniques and making these methods robust and scalable

Strong Python programming skills

Experience with databases and data structuring/warehousing

Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more

Strong verbal and written communication skills, including the ability to interact effectively with colleagues of varying technical and non-technical abilities

Experience deploying machine learning models using cloud-based solutions such as SageMaker or Azure ML

Familiarity with and ability to train people on deploying to a containerized environment

Production experience with serverless platforms such as AWS Lambda or Google Cloud Functions

Contributions to open source projects

Positive, good-natured, and generally pleasant to be around

Demonstrated commitment to building a diverse and inclusive culture

Great sense of humor, A sense of adventure

workהגשת מועמדות

Elbit Systems

על החברה

באלביט מערכות מועסקים בגאווה כ-17,000 עובדים, כ-13,000 מתוכם בישראל שלאורך השנים יצרו תרומה ענקית לביטחון המדינה ומהווים חלק בלתי נפרד בפיתוח היכולות הדמיוניות שמגינות על המשפחות של כולנו. אגב, אם תהיתם כמה ענקית היא התרומה של אלביט מערכות לישראל, היא ענקית כמו 30 פרסי ביטחון בהם זו זכתה ובעוד עשרות פרסים יוקרתיים נוספים.

account_balanceעוד על Elbit Systems