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Job description
Job Description Summary
Job Description
Senior Data Architect 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. Senior Lead Data Engineer will work closely with software engineers, product managers, and other stakeholders to deliver high-quality, scalable, and efficient software solutions.
Responsibilities:
Technical Leadership:
Provide technical leadership in technology and design. Collaborate with Software engineers to integrate AI/ML models into software solutions.
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
Design and architect scalable and efficient software systems. Ensure the scalability, performance, and security of software applications.
Write clean, efficient, and well-documented code.
Stay up to date with the latest trends and technologies in AI/ML and software engineering.
Contribute to the development of internal tools and processes to improve operational efficiency.
Engineering/Technology Practices:
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) process. Maintain high standards of code quality and documentation. Implement best practices for software development and deployment.
Participate in the review and approval of technical designs and architectures and contribute to the improvement of coding standards and best practices.
People Development:
Foster a collaborative and inclusive team environment. Encourage continuous learning and development within the team.
Qualifications & Requirements:
Bachelor or Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
Strong software engineering expertise, and ability to lead teams.
Experience with web technologies and version control system in industrial context
8-12 years of deep technical experience in data engineering, having successfully transitioned into senior roles overseeing system architecture and operational excellence
Ability to work across organizations in a matrix environment.
Experience as Senior Engineer
Strong oral and written communication skills
Strong interpersonal and leadership skills
Problem analysis and resolution skills
Experience with Python, Javascript, AWS. Experience with frameworks and libraries such as React, Numpy, Torch, Sanic, ...
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?
