Senior ML Ops Engineer at Siemens Energy

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.

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.