Senior Machine Learning Engineer

Siemens Mobility; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Siemens Technology and Services Private Limited is seeking a Senior Machine Learning Engineer in Bangalore to design and deploy end-to-end AI products that solve industrial challenges. You will drive MVP-driven prototyping, accelerate deployment, and bridge deep learning with business value.

The role requires strong Python, PyTorch/TensorFlow, ML systems, and MLOps skills, with experience in LangChain and cloud platforms.

Qualifications

• 5+ years in a startup or high-growth tech environment.
• Experience designing end-to-end AI products and MVP-driven development.
• Strong Python and modern ML frameworks including PyTorch/TensorFlow.
• Hands-on with MLOps/LLMOps pipelines and cloud architectures.

Responsibilities

• Architect and build end-to-end AI products for industrial challenges.
• Lead rapid prototyping with MVPs and continuous deployment of models.
• Translate AI architectures to scalable cloud solutions with low technical debt.
• Mentor engineers and align stakeholders on feasibility and scalability.

Skills

Python

PyTorch

TensorFlow

LLMs

MLOps

Education

Advanced degree

Tools

LangChain

CrewAI

Autogen

Claude Code

Codex

Cursor

Snowflake

Spark

AWS

Azure

Job description

Siemens Technology and Services Private Limited

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.