Software Engineer – Machine Learning

Dear Aspirant!

We empower our people to stay resilient and relevant in a constantly changing 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 international team.

Siemens founded the new business unit Siemens Advanta (formerly known as Siemens IoT Services) on April 1, 2019, with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Advanta is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and authoritative specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation - everything out of one hand!

We are looking for: Software Engineer – Machine Learning,

·Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.

·Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.You will develop high performing scalable systems in the context of large online delivery environments.

·Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.

·Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions.

·Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.

·Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

Use your skills to move the world forward!

·At least 2 years software engineering experience, ideally in the context of machine learning (ML) and natural language processing (NLP)

·Have exposure with building Generative AI and retrieval augmented generation (RAG) models

·Have experience in technical workstreams within a software engineering organization

·Are skilled and have a good understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.

·Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn

·Take pride in writing clean, reusable, maintainable and well-tested code

·Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform) is preferred

·Have a desire to learn and embrace new and emerging technology

·Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods

·Have previous exposure to Natural Language Processing (NLP) problems and are familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

·Have been successfully taking and integrating Machine Learning solutions to production-grade software

·Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.)

Make your mark in our exciting world at Siemens.

This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape 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 imagination and help us shape tomorrow.

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds