Siemens

Cloud and MLOPS Engineer

Bengaluru, India
Azure API Microservices SQL Python AWS GCP
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Description
Hello Visionary!

We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.

Does that sound like you? Then it seems like you’d make a great addition to our vibrant team. 

We are looking for Cloud and MLOPS Engineer.

Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.

Join our Digitalization Technology and Services (DTS) team based in Bangalore.

You’ll make a difference by:
Being part of an international data analytics team with diverse backgrounds, utilizing state-of-art data analytics methods to accelerate Siemens internal digitalization.
Building data models by extracting, transforming, and processing unstructured or structured data from large, disconnected datasets.
Interacting regularly with other data teams across Siemens to collaborate on data modelling and data warehousing challenges.
Understanding cloud-native technologies and platforms.
Being familiar in data and AI-related agile software development lifecycle methodologies, development, unit testing and integration frameworks.
Implementing effective database solutions and models to store and retrieve company data
Shaping and implementing the data architecture, including standards for data models, metadata, security, reference data such as product catalogs, and master data such as customers and products.
Being a valued member of an autonomous, cross-functional agile team.
Being a technical leader, mentor, collaborator, and champion of best practices.

Job Requirements/ Skills:
6-9 years’ work experience in Software Engineering especially in professional software product development.
Experience with data engineering, data warehousing, building data pipeline
Proficient in implementation and managing MLOps projects and services
Expert programming skills in SQL and preferably Python (with ML knowledge) 
Familiar with agile working methods
Working with major Cloud technologies (AWS, GCP, Azure) and associated warehouses and tools (Snowflake, DBT)
Strong understanding/expertise in building REST APIs/ Micro services architecture
Advanced level knowledge of DevOps
Very good command of English
German is a plus

Join us and be yourself!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.

Make your mark in our exciting world at Siemens.

This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.

We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage 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 craft tomorrow.

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds 

Siemens
Siemens
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