Senior Machine Learning Engineer

Siemens; Bengaluru Urban; On-site; INR 400,000 - 900,000; Full time

Job summary

Siemens in Bangalore is seeking a Senior Machine Learning Engineer to build end-to-end AI products that scale across industries. You will own the technical engine for AI solutions, driving rapid prototyping, deployment, and continuous improvement.

You bring 5+ years in fast-growth tech, deep AI/ML expertise (LLMs, RAG), and hands-on experience with LangChain, PyTorch, and cloud architectures (AWS/Azure). Fluency in English is required, with German a plus.

Qualifications

• 5+ years in startup or high-growth tech environment.
• Deep practical knowledge of AI/ML (LLMs, RAG).
• Experience with Agentic Frameworks (e.g., LangChain, CrewAI, Autogen).
• Proficient in Python and modern ML frameworks; production-grade software and scalable cloud architectures.
• Strong communication and ability to translate AI insights into business value.

Responsibilities

• Design, develop, and implement end-to-end AI products solving industrial challenges.
• Innovate on ML workflows to accelerate time-to-market using Agentic Coding Frameworks & LLMOps.
• Lead technical execution of product lifecycle with lean MVP-driven approach and rapid prototyping.
• Translate complex AI/Cloud architectures into scalable solutions with low technical debt.
• Mentor engineers and align stakeholders on feasibility and scalability of AI solutions.

Skills

Python

ML Engineering

LLMs

MLOps

Cloud (AWS/Azure)

English fluency

Education

Advanced degree in CS/DS/Math/Physics

Tools

LangChain

CrewAI

Autogen

Claude Code

Codex

Cursor

PyTorch

TensorFlow

AWS

Azure

Snowflake

Spark

GitHub

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?

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
Are you a "builder" who thrives in a high-velocity environment but wants to scale your technical impact on a global stage? We are looking for a Senior Machine Learning Engineer who brings a "day one" mentality. We are looking for a pioneer who doesn't just train models but builds end-to-end AI products at the speed of a startup. You are someone who prefers functional results over theoretical research and masters Agentic AI to accelerate our journey toward the next generation of industrial-grade software engineering.
You’ll make an impact by

• Be the Architect & Builder: Act as the technical engine for AI products. You are responsible for designing, developing, and implementing end-to-end AI products that solve high-impact industrial challenges.
• Revolutionize the Build: You don't just follow standard ML workflows; you innovate on how to build them faster. You will champion the use of Agentic Coding Frameworks and LLMOps to accelerate our time-to-market and automate the development lifecycle.
• Iterate at Speed: Lead the technical execution of the product lifecycle using a lean, MVP-driven approach. You focus on rapid prototyping, turning user feedback into code, and ensuring continuous deployment of production-grade models.
• Bridge Code & Value: You speak "Deep Learning" and "Business Value" fluently. You will translate complex AI/Cloud architectures into scalable technical solutions, ensuring our technical debt stays low while our value delivery stays high.
• Technical Leadership & Mentorship: In a large organization, technical clarity is key. You will proactively clear technical roadblocks, mentor junior engineers, and align stakeholders on the feasibility and scalability of AI solutions.

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

• Startup/Fast-Growth DNA: You have a proven track record (ideally 5+ years) in a startup or high-growth tech environment. You are used to rapid pivots and taking full ownership of your code and its impact.
• The "Pusher" Personality: You don't wait for a Jira ticket. You identify technical gaps and rally the team to solve them. You are comfortable with ambiguity and thrive when things move fast.
• Project Ownership: Demonstrated ability to lead projects from conception to endpoint serving in real-world production environments.
• AI & Agentic Mastery: Deep practical knowledge of AI/ML (LLMs, RAG). Crucially, you have experience with Agentic Frameworks (e.g., LangChain, CrewAI, Autogen) and AI-native development tools (e.g., Claude Code, Codex, or Cursor).
• Engineering Roots: Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow). You understand how to build "production-grade" software and scalable cloud architectures (AWS or Azure).
• MLOps & Infrastructure: Experience with MLOps/LLMOps pipelines, version control (GitLab/GitHub), and big data technologies (e.g., Snowflake, Spark). You build for scalability, not just for a notebook.
• Radical Clarity: You communicate directly and concisely. You can explain a gradient descent issue to a developer and then immediately pivot to explaining the ROI of an AI agent to a stakeholder.
• Resilience: You are comfortable with constructive debate and have the "grit" to push back when necessary to protect the technical integrity and speed of delivery.
• Language: Fluent English is a must; German is a "nice to have." Education: Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field.

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 #STS