Machine Learning Engineer

Overview

A Machine Learning Engineer (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of 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. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. 

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.

Team

Making an impact. What will you do?

• As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations
• You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision
• You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data
• Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks
• You will support in setting up the MLOps infrastructure for existing and new AI products
• Additionally, you will work directly with customer data and set up data pipelines to collect, curate, transform and version data
  
  

• You have a Bachelor or master’s degree in data science, Computational
• Statistics/Mathematics, Computer Science or related field 
• In addition you know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow
• Further, you have experience in backend and API development with Python (FastAPI, Flask) or similar
• You demonstrate knowledge of and basic practical experience with Object Oriented
• Programming, design patterns, algorithms and data structures, version control systems (e.g. Git)
• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus
• Fluency in English is required
  
  

Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. 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 and protect our planet.

On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals.

Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless.

Have we inspired you? Let's talk about it!

We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market.

Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.

Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.