Senior Machine Learning Engineer

Siemens; Navi Mumbai; On-site; INR 420,000 - 700,000; Full time

Job summary

Siemens in Navi Mumbai invites a Senior Machine Learning Engineer / Data Scientist to design and deploy end-to-end ML solutions across global teams. You will own projects from concept through deployment, collaborating with product managers and engineers to apply ML, MLOps, and LLM technologies to real-world processes.

You will drive architecture, deliver scalable models, and mentor junior teammates while communicating complex ideas to non-technical stakeholders in a fast-paced environment.

Qualifications

• Advanced degree in CS/DS/ML or related field.
• 7+ years of ML engineering or data science experience.
• Strong Python programming skills.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Cloud-native ML development experience (Azure, AWS).
• Familiar with large language models and NLP; LLM frameworks.
• Proven ability to deliver end-to-end projects; cross-functional collaboration.
• Knowledge of big data tools like Snowflake and Spark.
• Experience with data visualization tools and libraries.
• Version control and collaborative coding practices (GitLab).

Responsibilities

• Design, develop, and implement end-to-end ML pipelines for various use cases.
• Lead projects from conception to deployment, translating business requirements into scalable technical solutions.
• Collaborate with an international team of engineers, product managers, and stakeholders to integrate AI solutions.
• Mentor junior team members and contribute to skill development within the team.

Skills

Python

ML Engineering

Data Science

TensorFlow

PyTorch

Azure

AWS

LangChain

PromptFlow

Snowflake

Spark

LLMs

NLP

GitLab

Education

Advanced degree in Computer Science / Data Science / ML / Mathematics / Statistics / Physics or related field

Tools

TensorFlow

PyTorch

Snowflake

Spark

LangChain

PromptFlow

GitLab

Azure

AWS

Python

Job description

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.

Responsibilities

Design, develop, and implement end-to-end machine learning pipelines for various use cases to improve our internal Siemens processes. 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. Lead projects from conception to deployment, translating business requirements into scalable technical solutions, ensuring timely delivery and alignment with business objectives. Work closely with an international team of diverse backgrounds, including engineers, product managers, and other stakeholders, to integrate AI solutions into existing systems. Clearly articulate complex technical concepts to non-technical stakeholders and team members. Mentor junior team members and contribute to the overall skill development within the team.

Requirements

• Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field.
• 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.