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Machine Learning Engineer (Global)

Min Experience

0 years

Location

Bangalore, Karnataka, India

JobType

Regular / Permanent / Unlimited / FTE

About the job

Info This job is sourced from a job board

About the role

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

About the company

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.

Skills

deep learning
NLP
computer vision
PyTorch
Tensorflow
Python
Flask
FastAPI
Object Oriented Programming
Git