Senior MLOps Engineer

As a highly skilled and experienced Senior MLOps Engineer at Siemens Energy, you will play a crucial role in shaping the data architecture and strategy within the organization. Your primary focus will be on developing the Machine Learning environment, collaborating with stakeholders, prioritizing backlog items, providing consultancy on AI ML solutions, and supporting test automation. Additionally, you will work on PoCs/MVPs using various hyperscale offerings. Key Responsibilities: - Onboard new AI ML use cases in AWS / Google Cloud Platform - Define MLOps architecture for AWS/ GCP/ Cloud Agnostic - Utilize AI ML services like AWS Sagemaker and GCP AutoML - Develop PoCs / MVPs using AWS / GCP and other MLOps services - Implement CI CD pipelines using GitLab CI - Write Infrastructure as code with AWS CDK scripts - Provide consultancy to stakeholders on AI ML solutions - Support test automation - Deploy code base to production environments Qualifications Required: - Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, or related fields (Master's degree is a plus) - Around 10 years of hands-on experience in ML / AI development and Operations - Expertise in ML Life Cycle and MLOps - Proficiency in Python coding and Linux administration - Experience with CI CD pipelines and DevOps processes - Familiarity with JIRA and Confluence - Excellent interpersonal and communication skills - Certification in AWS or GCP in ML AI area is preferred Siemens Energy values diversity and inclusion, encouraging applications from individuals of all backgrounds as it believes that diversity enhances creativity. The organization celebrates character and provides equal opportunities for all individuals without discrimination based on differences. If you are passionate about making an impact in shaping the future of energy, dedicated to innovation, decarbonization, and energy transformation, Siemens Energy welcomes you to join its team of enthusiastic professionals.,