Role Overview
Siemens is hiring a Senior Machine Learning Engineer / Data Scientist. This is a full-time role in IN. Part of Siemens's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Job Description
As a Senior Machine Learning Engineer / Data Scientist at Siemens, your role will involve designing, developing, and implementing end-to-end machine learning pipelines to enhance internal processes. You will be expected to provide technical leadership by leveraging ML engineering best practices and leading projects from conception to deployment. Collaboration with an international team, clear communication of technical concepts, mentorship of junior team members, and contributing to overall skill development are also key aspects of this role.
Key Responsibilities:
- Design, develop, and implement end-to-end machine learning pipelines for various use cases
- Provide expertise in ML engineering best practices including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches
- Lead projects from conception to deployment, translating business requirements into scalable technical solutions
- Work closely with an international team to integrate AI solutions into existing systems
- Mentor junior team members and contribute to the overall skill development within the team
Qualifications Required:
- Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or related field
- Preferred 7+ years of experience in machine learning engineering or data science roles
- Strong proficiency in Python
- Experience with machine learning frameworks like TensorFlow, PyTorch
- Experience with cloud-native ML development on Azure, AWS
- Knowledge of big data technologies such as Snowflake, Spark
- Familiarity with large language models and natural language processing
- Experience with data visualization tools and libraries
- Knowledge of software development best practices including version control (e.g., GitLab) and collaborative coding
- Strong verbal and written communication skills
- Independent working style with proactive problem-solving approach
- Fluent in English; German proficiency is beneficial but not mandatory
Siemens is committed to fostering a diverse environment and is an equal opportunity employer, welcoming applications from a diverse talent pool. As a Senior Machine Learning Engineer / Data Scientist at Siemens, your role will involve designing, developing, and implementing end-to-end machine learning pipelines to enhance internal processes. You will be expected to provide technical leadership by leveraging ML engineering best practices and leading projects from conception to deployment. Collaboration with an international team, clear communication of technical concepts, mentorship of junior team members, and contributing to overall skill development are also key aspects of this role.
Key Responsibilities:
- Design, develop, and implement end-to-end machine learning pipelines for various use cases
- Provide expertise in ML engineering best practices including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches
- Lead projects from conception to deployment, translating business requirements into scalable technical solutions
- Work closely with an international team to integrate AI solutions into existing systems
- Mentor junior team members and contribute to the overall skill development within the team
Qualifications Required:
- Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or related field
- Preferred 7+ years of experience in machine learning engineering or data science roles
- Strong proficiency in Python
- Experience with machine learning frameworks like TensorFlow, PyTorch
- Experience with cloud-native ML development on Azure, AWS
- Knowledge of big data technologies such as Snowflake, Spark
- Familiarity with large language models and natural language processing
- Experience with data visualization tools and libraries
- Knowledge of software development best practices including version control (e.g., GitLab) and collaborative coding
- Strong verbal and written communication skills
- Independent working style with proactive problem-solving approach
- Fluent in English; German proficiency is beneficial but not mandatory
Siemens is committed to fostering a diverse environment and is an equal opportunity employer, welcoming applications from a diverse talent pool.
Frequently Asked Questions
How do I apply for the Senior Machine Learning Engineer / Data Scientist position at Siemens?
Use the Apply button above to submit your application directly to Siemens. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Machine Learning Engineer / Data Scientist position at Siemens located?
This position is based in IN. Siemens has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Machine Learning Engineer / Data Scientist at Siemens earn?
Siemens has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Machine Learning Engineer / Data Scientist role at Siemens posted?
This role was posted on April 25, 2026 (59 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Machine Learning Engineer / Data Scientist role at Siemens require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Siemens lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get Started FreeNo credit card to start