Live opening · Posted 1 day ago

Senior Machine Learning Engineer

Siemens · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanySiemens
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsMachine Learning, Python, AWS, Azure, TensorFlow, PyTorch
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Hello Visionary!
We believe that a business can truly thrive only when its people are growing. That’s why we always put our people first. Our global and diverse team is here to support you—and challenge you—to grow in new ways. Who knows where our shared journey will take you?
We are looking for a Senior Machine Learning Engineer / Data Scientist
We are seeking a highly skilled and motivated Senior Machine Learning Engineer / Data Scientist to join our team. The ideal candidate will possess a strong technical background in machine learning and data science, with strong experience in developing and deploying models in real-world production environments. This role requires an individual who works independently, takes ownership of projects, communicates effectively, and thrives in a collaborative team setting.
You’ll make an impact by:
Solution Development: Design, develop, and implement end-to-end machine learning pipelines for various use cases to improve our internal Siemens processes.
Technical Leadership: Provide expertise in ML engineering best practices, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches for scalable and maintainable solutions.
Project Ownership and Management: Lead projects from conception to deployment, translating business requirements into scalable technical solutions, ensuring timely delivery and alignment with business objectives.
Collaboration: Work closely with an international team of diverse backgrounds, including engineers, product managers, and other stakeholders, to integrate AI solutions into existing systems.
Communication: Clearly articulate complex technical concepts to non-technical stakeholders and team members. Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate
Mentorship: Mentor junior team members and contribute to the overall skill development within the team.
You’re excited to build on your existing expertise, including:
Education: Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field.
Preferred 7+ Years of Experience in machine learning engineering or data science roles.
Demonstrated ability to manage and deliver complex projects.
Strong Proficiency in programming languages such as Python.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with cloud-native ML development (Azure, AWS).
Familiarity with large language models and natural language processing as well as experience with LLM frameworks (langchain, promptflow)
Proven ability to deliver end-to-end projects (i.e. from exploration to endpoint serving)
Knowledge of big data technologies (Snowflake, Spark).
Experience with data visualization tools and libraries.
Knowledge of software development best practices, including version control (e.g., GitLab) and collaborative coding.
Create a Better #TomorrowWithUs!
This role is based in Bangalore, offering the opportunity to work with teams that impact entire cities, countries—and the shape of things to come.
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. Bring your authentic self and help create a better tomorrow with us.
We’re Siemens—a collective of over 312,000 minds building the future, one day at a time, across more than 200 countries. We are dedicated to equality and encourage applications that reflect the diversity of the communities we serve. 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

Work arrangement
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