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GENERAL ELECTRIC (GE)
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Machine Learning Engineer

Machine Learning Engineer

GENERAL ELECTRIC (GE)

2 - 7 years

8 - 12 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

engineering services mining computer science software design data analysis machine learning data collection robotics analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Drive the execution of design, analysis, or evaluation of scalable AI solutions at Wabtec

Work closely with the DAT ML engineers to build and deploy highly scalable AI solutions that drive business value for our business units and customers

Be a machine learning cross-functional engineer with organizations such as, Freight Engineering, Services, Transit Engineering, Digital Electronics, Freight Components, Mining and Marine operations to drive new computer vision solutions and opportunities

Participate in designing and executing data science pipelines including edge device management, data collection, exploratory data analysis, ground truth annotation, building machine/deep learning models and their deployment

Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy

Participate in discussions and host webinar s on latest trends in artificial intelligence and digital technologies

Develop subject matter expertise in driving digital industrial solutions across all functional engineering areas

Eligibility Requirements:

Must be willing to work out of an office located in Bangalore , India

Qualifications / Requirements

Bachelor s in engineering, Physics, Chemistry, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience.

Minimum 2 years of hands-on e xperience in the fields of AI/ML

Proficient in python , GO or similar languages.

Proficient with computer vision tools such as Open CV, Deep Learning Frameworks ( Keras , TensorFlow, PyTorch )

Proficient in software design principles and tools such as Gitlab

Working knowledge in Natural language processing and/or Large Language Models (LLM)

Working knowledge with Docker and Kubernetes

Working knowledge in Cloud, Cloud Native applications, and application platforms

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