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Role at a glance
You will
Provide technical solutions in technology and design.
Collaborate with data scientists to integrate AI/ML models into software solutions
Design and architect scalable and efficient software systems.
Experience
3–5 years
Must-have skills
AWSJavaScriptMachine LearningNumPyPythonReact
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Job description
Job Description Summary
Job Description
ML Software Engineer in AI/ML team will be responsible for designing, developing, and maintaining software solutions that leverage artificial intelligence and machine learning to improve GEV commercial products and internal processes. ML Software Engineer will work closely with data scientists, product managers, and other stakeholders to deliver high-quality, scalable, and efficient software solutions
Responsibilities:
Provide technical solutions in technology and design. Collaborate with data scientists to integrate AI/ML models into software solutions
Design and architect scalable and efficient software systems. Ensure the scalability, performance, and security of software applications
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions
Stay up to date with the latest trends and technologies in AI/ML and software engineering
Write clean, efficient, and well-documented code
Contribute to the development of internal tools and processes to improve operational efficiency
Support Senior & Principal Engineers to safeguard design qualities.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Ensure adherence to software development methodologies, including Agile and the New Product Introduction (NPI) / OTR processes. Maintain high standards of code quality and documentation. Implement best practices for software development and deployment.
Participate in the review of technical designs and architectures and contribute to the improvement of coding standards and best practices.
Foster a collaborative and inclusive team environment. Encourage continuous learning and development within the team.
Qualifications & requirements:
3-5 years of strong software engineering experience
Bachelor or Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics
Experience with web technologies and version control system in industrial context
Ability to work across organizations in a matrix environment
Strong oral and written communication skills
Strong interpersonal skills
Problem analysis and resolution skills
Experience with Python, Javascript, AWS. Experience with frameworks and libraries such as React, Numpy, Torch and Sanic.
Additional Information
Relocation Assistance Provided: Yes
Key skills
Required
AWSJavaScriptMachine LearningNumPyPythonReact
Soft skills
Communication
About company
GE Power is a world energy leader providing equipment, solutions and services across the energy value chain from generation to consumption.
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
What is Amazon EC2, and how do you read an instance type name like m7g.large?
What is Amazon S3, and what are its main storage classes?