At Siemens Energy, our mission is to empower our customers to meet the growing global demand for energy while transitioning to a more sustainable world. How? Our innovative technologies, extensive energy experience and an ambitious strategy to decarbonize global energy systems are all central to our efforts to be the partner and driver of the energy transiti...
Read more about this company
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.
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.
Gmail
Yahoomail