AI/ML Ops Engineer

Job description

Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years.

Digital Verification Technologies (DVT) division seeks a full-time AI/ML Ops Engineer to join our team in Cairo, Egypt.

Responsibilities:

• Belong to a team of impactful ML Engineers & Data Scientists.
• Design, Build & Manage infrastructure that supports the Data Science & Machine Learning Team throughout the entire Data Science Lifecycle.
• Design, Build, Deploy & Monitor model pipelines.

Qualifications:

• B.Sc. of Computer Science or Computer Engineering.
• Experience with CD/CI flows.
• Experience with Warehousing solutions & ETL Frameworks like Airflow, Pandas, AWS Glue, Google Cloud Dataflow etc..
• Knowledge of distributed systems and cloud computing platforms.
• Expert Knowledge of Relational DB and NoSQL.
• Experience with docker containers and Kubernates, Prometheusl.
• Knowledge of performance KPIs.
• Familiar with Disaster recover, backup & restore , redundant machines.
• Proficient in Python or Typescript or Go.
• Experience with Cloud and hardware optimization & OS/Kernel tuning is a plus!
• AWS certificate is a plus!
• Highly developed communication skills, including the ability to present ideas and share your knowledge with others.

We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!

We offer a comprehensive reward package which includes a competitive basic salary and a generous holiday allowance.

Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access, equal opportunity for individuals with disabilities in employment, its services, programs, and activities.