Passed Ad
Job Summary
- IT, new technologies
- Addis Ababa - Afar - Amhara - Awasa - Benishangul-Gumuz - Dire Dawa - Gambela - Harari - Oromiya - Somali - Tigray - International
- 5 to 10 years
- Master
- Fixed-term contract
Company
-
SIEMENS ENERGY
- Industries : Electricity, water, gas, nuclear, energy
- Website : https://www.siemens-energy.com
- Job ads : See our Job Ads
-
Company description:
Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy... read more
Job Ad & Profile Description
Position : Senior ML Ops Engineer
A Snapshot of Your Day
Passionate about the environment and climate change? Ready to be part of the future of the energy transition?
The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.
Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
How You’ll Make an Impact
- Onboard new AI ML (Artificial Intelligence & Machine Learning) use cases in AWS / Google Cloud Platform.
- Define the right MLOps architecture for AWS/ GCP/ Cloud Agonistic.
- Very strong experience on working with AI ML services (AWS Sagemaker, GCP AutoML, Vertex AI etc.)
- Develop PoC / MVP using AWS / GCP and other MLOps services.
- Hands on experience in Git Lab CI for CI CD and DevOps implementations
- You need to develop Infrastructure as code by writing Terraform / Cloud formation scripts.
- Consultancy to the stakeholders on AI ML (Artificial Intelligence & Machine Learning) and help build right solutions.
- Support Test automation and deployment of the code base to the production environment.
Required profile for job ad : Senior ML Ops Engineer
What You Bring
- Bachelor’s degree in one of the following fields: Computer science, mathematics, engineering, physics, or related.
- A Master’s degree is considered a plus.
- Preferably AWS or GCP Certifications in ML AI area.
- Around 5 years of hands on experience with ML / AI development and Operations.
- Expert-level understanding of the MLOps. E.g. bringing machine learning models to production, and then maintaining and monitoring them.
- Experience in developing, implementing, maintaining, and operating CI CD (Continuous Integration and Continuous Development) pipeline following the DevOps process.
- Very good knowledge of Python coding and Linux administration.
- Experience in working with JIRA and Confluence and Agile deliver model.
- You are result-driven as well as excellent interpersonal, communication, and collaborative skills
- You are fluent in both spoken and written English.
Job criteria for job ad : Senior ML Ops Engineer
- Job category : IT, new technologies
- Industries : Electricity, water, gas, nuclear, energy
- Employment type : Fixed-term contract
- Region : Addis Ababa - Afar - Amhara - Awasa - Benishangul-Gumuz - Dire Dawa - Gambela - Harari - Oromiya - Somali - Tigray - International
- Experience level : 5 to 10 years
- Educational level : Master
- Number of Position(s) : 1
- AGILE
- PYTHON
- Quality
- CONFLUENCE
- Monitoring
- Energy
- Automation
- LINUX
- Process
- GIT
- JIRA
- Maintenance
- Production
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