Hello Visionary

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.

We are looking for Senior ML Architect

You’ll break new ground by:

• In this pivotal role, you will be responsible for designing and implementing scalable

cloud-based machine learning solutions specifically for the PDQO domains, while

providing technical and project leadership to team members.

• Compose, develop, and implement end-to-end machine learning pipelines for various use

cases to improve our internal processes, such as demand forecasting, logistics planning,

quality processes in factories

• Share a point of view in ML engineering procedures, including data preprocessing, model

training, evaluation, deployment, and incorporating MLOps and LLMOps approaches for

scalable and maintainable PDQO solutions. You will also provide hands-on architectural

design and, at times, direct solution creation.

• Lead ML projects within the domains from conception to deployment, translating

business requirements into scalable technical solutions, ensuring timely delivery, effective

demand management, and alignment with strategic business objectives.

• Mentor junior team members and give to the overall skill development within the team,

encouraging a culture of continuous learning and perfection in ML.

• Work closely with an international team of a diverse group of backgrounds, including

engineers, product managers, and business customers, to integrate AI solutions into

existing systems and workflows.

• Clearly articulate technical concepts and business-specific ML solutions to non-technical

participants and team members and comfort with proactively raising concerns,

suggesting alternatives, and engaging in constructive debate when appropriate,

especially regarding challenges and opportunities.

You’re excited to build on your existing expertise, including:

• A university degree in Computer Science, Data Science, Machine Learning,

Mathematics, Statistics, Physics, or a related field with 5+ years of experience in software

engineering, data science, or related fields with cloud-based ML architectures and

deployments.

• Proven experience and a strong understanding of at least one of the business domains

PDQO (Procurement, Deliver, Quality, Operations), its processes, and challenges.

• Proven track record to lead and deliver projects, including demand and project

management responsibilities

• Strong Proficiency in programming languages such as Python.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in cloud platforms (AWS, Azure, GCP) and their ML/AI services.
• Familiarity with large language models and natural language processing as well as

experience with LLM frameworks (ADK, langchain, promptflow).

• Experience with API/MCP design and integration patterns.
• Knowledge of security procedures for ML systems and data protection, big data

technologies (Snowflake, Spark).

• Knowledge of software development protocols, including version control (e.g., GitLab)

and collaborative coding.

Create a better #TomorrowWithUs!

This role is based in Pune or 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 312,000 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 Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here:

www.siemens.com/careers/digitalminds