About the role

Gap Inc. is changing the future of retail and reimagining how people shop and engage with our brands. Our obsession with delighting customers and our commitment to deliver fully on those experiences is what sets us apart.

We are diversifying our teams and our talent globally, and expanding our talent reach by opening a technology hub in India.

Growing overtime, this center will become critical in enabling technology that powers Gap Inc. business globally’.

HIGH LEVEL SUMMARY OF THE ROLE

We are looking for an excellent engineer to help us design, develop and deploy transformative MLOPs product. In this role, you will be working together with other engineers towards building an infrastructure that supports our team in developing machine learning infrastructure to empower data scientists to rapidly iterate on model development

. The successful individual will be expected to partner with peers, business stakeholders, software & services provider, and colleagues from within and outside development teams, infrastructure teams to deliver software development projects.

Consider joining our team and growing your career with us. We are hiring technology enthusiasts who share our passion for efficient delivery, want to solve real business problems, and quickly learn and implement new technologies.

Primary Responsibilities

In-depth knowledge and experience with Azure cloud technologies and Databricks

Working knowledge on Azure MLOps.

Experience working with data scientists and/or ML engineers and building auto-scaling ML systems.

Strong experience in scripting (BASH, Python) and building required automation (using standard technologies such as Docker and Jenkins).

Working knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.

Experience with various virtualization technologies and multi-tenant, private, and hybrid cloud environments.

Experience documenting and maintaining configuration and process information.

Work collaboratively with other team members to foster an environment of respect, open communication, and cross-functional expertise.

Who you are

Bachelor’s Degree in Computer Science or related field with 5-8 years relevant experience and at a minimum of 2-3 years of Development/Implementation experience in Azure MLOps.

Demonstrated proficiency with SQL, scripting (BASH, Python), and the building required automation (using standard technologies such as Docker and Jenkins).

Demonstrated ability to quickly learn new programming languages and tools.

Demonstrate problem-solving, analytical abilities, and self-motivation.

Strong verbal and written communication skills and an ability to work in a team environment

Should be a good team player.

Optional Preferred Skills

Develop ADF pipelines.

Experience in HDInsight and Hadoop.

Experience in Python or equivalent object-oriented programming language.

Knowledge of Enterprise Batch Scheduler (eg CAWA