Offer summary

Qualifications:

Strong experience in ML pipelines and modern tech stack., Proven experience with MLOps using Azure and MLFlow., Proficiency in Python scripting and coding, with strong math skills., Familiarity with container technologies like Docker and Kubernetes..

Key responsabilities:

Automate and streamline infrastructure, build, test, and deployment processes.

Monitor and troubleshoot production issues while supporting development and operations teams.

Manage and maintain tools and infrastructure for continuous integration and delivery.

Oversee source control systems and branching strategies, ensuring effective collaboration.

Job description

General Information

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Country

India

Department

SOFTWARE ENGINEERING

Date

Friday, October 11, 2024

Working time

Full-time

Ref#

20033828

Job Level

Individual Contributor

Job Type

Experienced

Job Field

SOFTWARE ENGINEERING

Seniority Level

Associate

Description & Requirements

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About Xerox Holdings Corporation

For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power today’s workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients — no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. Learn more at www.xerox.com and explore our commitment to diversity and inclusion.

General

Builds knowledge of the organization, processes and customers.
Requires knowledge and experience in own discipline; still acquiring higher level knowledge and skills.
Receives a moderate level of guidance and direction.
Moderate decision-making authority guided by policies, procedures, and business operations protocol.

Technical Skills

Will need to be strong on ML pipelines, modern tech stack.
Proven experience with MLOPs with Azure and MLFlow etc.
Experience with scripting and coding using Python.
Working Experience with container technologies (Docker, Kubernetes).
Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines.
Experience in relational database (e.g.:- MS SQL Server) & NoSQL Databases (e.g.:- MongoDB) Python and Strong math skills (e.g. statistics).
Problem-solving aptitude and Excellent communication and presentation skills.
Automating and streamlining infrastructure, build, test, and deployment processes.
Monitoring and troubleshooting production issues and providing support to development and operations teams.
Managing and maintaining tools and infrastructure for continuous integration and delivery.
Managing and maintaining source control systems and branching strategies.
Strong knowledge of Linux/Unix administration.
Experience with configuration management tools like Ansible, Puppet, or Chef.
Strong understanding of networking, security, and storage.
Understanding and Practice of AGILE Methodologies.
Proficiency and experience in working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server)
Above average verbal, written and presentation skills.