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.