Lead Machine Learning Engineer (m / f / d)

Linde; Pullach im Isartal; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A global industrial gases and engineering company in Pullach im Isartal seeks a Lead Machine Learning Engineer to develop AI products, lead machine learning systems, and drive innovation in deep learning technologies. The ideal candidate has a Master’s degree, expertise in machine learning, and strong software engineering skills. Attractive benefits and flexible working arrangements are offered.

Leistungen

30 vacation days

Flexible working hours

Hybrid mobile working

Attractive company pension scheme

Modern company restaurant

Diverse development opportunities

Health offerings

Employee discounts

Parking with electric charging stations

Networking events

Qualifikationen

• Master's degree or higher with relevant industry experience.
• Deep expertise in machine learning and deep learning.
• Proficient in deep learning frameworks.
• Strong software engineering skills including backend development.
• Extensive experience with MLOps and cloud platforms.

Aufgaben

• Architect, design, and lead ML systems development.
• Drive innovation in deep learning technologies.
• Define and implement MLOps infrastructure.
• Mentor peers and guide high-impact programs.

Kenntnisse

Machine learning expertise

Deep learning expertise

Software engineering

MLOps and cloud platforms experience

Fluent English

Ausbildung

Master’s degree in Computer Science or related field

Tools

PyTorch

JAX

Python

Docker

Azure

Jobbeschreibung

What you will enjoy doing

• As Lead Machine Learning Engineer, you will be working in the Global Artificial Intelligence team, Linde's corporate division engaged with real business challenges and opportunities in multiple countries
• Your focus in this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain while collaborating across diverse business and corporate functions within international teams - comprising data scientists, data and software engineers, commercial and adoption managers from Linde’s Global AI team, and a wide range of professionals across the broader organization
• You will architect, design and lead the development, training, testing and deployment of machine learning systems across diverse domains and technologies such as large language models (LLMs), computer vision, and structured or sequential data
• Part of your responsibility will be also driving innovation, experimenting with and evaluating of novel deep learning technologies such as self-supervised learning, generative AI, and multimodal models, and bring successful prototypes into production
• You will define and implement scalable MLOps infrastructure to enable reproducibility, automation and continuous delivery of ML solutions across the company’s AI products
• Furthermore, you are acting as functional lead to guide replication, mentor peers, steer high-impact programs across the enterprise, fostering best practices in machine learning engineering, with a large focus on generative AI and LLMs

What makes you great

You have a Master’s degree or higher in Computer Science or related field, with relevant industry experience

You possess deep expertise in machine learning and deep learning, with a track record of building and deploying models into production at scale, including knowledge of the relevant ecosystems

In addition, you are proficient in deep learning frameworks (PyTorch, JAX) and have experience with modern architectures

Strong software engineering skills, including backend development (Python, FastAPI), advanced knowledge of OOP, design patterns, algorithms, data structures and version control systems round off your profile.

You have extensive experience with MLOps and cloud platforms, especially Azure, and are fluent with Docker and CI / CD

Fluent English is required, an additional language is a plus

Why you will love working with us

Linde is a leading global industrial gases and engineering company with 2024 sales of $33 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain, decarbonize and protect our planet.

The company serves a variety of end markets such as chemicals & energy, food & beverage, electronics, healthcare, manufacturing, metals and mining. Linde's industrial gases and technologies are used in countless applications including production of clean hydrogen and carbon capture systems critical to the energy transition, life-saving medical oxygen and high-purity & specialty gases for electronics. Linde also delivers state-of-the-art gas processing solutions to support customer expansion, efficiency improvements and emissions reductions.

Linde employees learn and abide the Linde Code of Ethics and Code of Conduct by demonstrating honesty, integrity, professionalism in all communications, actions, and decisions.

What we offer you!

At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.

In addition to an attractive compensation package, we offer you many social benefits, such as

Attractive performance-based remuneration package

30 vacation days

Flexible working hours including a flextime account

Hybrid mobile working within the scope of applicable collective regulations

Attractive company pension scheme (Linde Pension Plan)

Modern company restaurant (including vegetarian and vegan dishes) & a Coffee Point on campus

Diverse personal and professional development opportunities

Support in all life situations through company counseling services

Health offerings (, bike leasing & corporate fitness programs)

Corporate benefits (employee discounts and offers)

Direct S-Bahn connection and parking slots with electric charging stations

Bike parking facilities (repair options, showers & changing rooms)

Networking events such as Cultural Coffee, Social Team Day, Kaleidoscope, Linde-Wiesn, Summer and Winter festivals

…and much more!

Note : Benefits may vary depending on the position.