Overview
On Site
Full Time
Skills
Google Cloud
Technical Support
Machine Learning (ML)
Agile
Generative Artificial Intelligence (AI)
Computer science
Solution delivery
Software engineering
Computer engineering
IT service management
Management
Collaboration
Communication
Presentations
Software development
DevOps
continuous integration and development
Docker
Kubernetes
GitHub
Python
Oracle Application Express
SAP BASIS
Law
Innovation
Training
Recruiting
Job Details
Job#: 2024839
Job Description:
Position Description:
GDI&A Tech is looking for a Software Engineer focused on supporting and managing different ML Tools. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with other software engineers, tech anchor, product manager and cross functional teams. The team you will be working on manages and supports different tools and services across the AIAC platform as well as provides support to the end users (ranging from GDI&A to different departments throughout Ford) utilizing these tools and services.
Skills Required:
Work closely with Tech Anchor, Product Manager and Product Owner to manage machine learning tools using Agile Methodology. Leverage latest ML, Gen AI and Google Cloud Platform technologies and tech stacks. Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform. Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues. Provide end user support for various ML tools. Be proactive in resolving end user issues. Grow technical capabilities / expertise and provide guidance to other software engineers on the team.
Skills Preferred:
Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Bachelor's in computer science or similar discipline. Experience working with OpenShift, Google Cloud Platform and Gen AI projects. Experience applying Agile practices to solution delivery. Experience in all phases of the development lifecycle. Must be team-oriented and have excellent communication and presentation skills. Open to learning new technology. Knowledge of coding and software engineering best practices.
Experience Required:
4+ years of work experience as a software engineer with exceptional software engineering knowledge. 2+ year of experience and good understanding of OpenShift / Google Cloud Platform / DevOps / CICD / Docker / Kubernetes / GitHub. Good to know Python. Understanding or desire to learn end to end Machine Learning and Gen AI technology stack (Tools such as Kubeflow, Airflow, Seldon Core, Weights & Biases, Labeling tools etc). Strong communication and presentation skills, ability to share/teach others, willing to learn and work collaboratively with others.
Experience Preferred:
Some experience in Python.
Education Required:
Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Job Description:
Position Description:
GDI&A Tech is looking for a Software Engineer focused on supporting and managing different ML Tools. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with other software engineers, tech anchor, product manager and cross functional teams. The team you will be working on manages and supports different tools and services across the AIAC platform as well as provides support to the end users (ranging from GDI&A to different departments throughout Ford) utilizing these tools and services.
Skills Required:
Work closely with Tech Anchor, Product Manager and Product Owner to manage machine learning tools using Agile Methodology. Leverage latest ML, Gen AI and Google Cloud Platform technologies and tech stacks. Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform. Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues. Provide end user support for various ML tools. Be proactive in resolving end user issues. Grow technical capabilities / expertise and provide guidance to other software engineers on the team.
Skills Preferred:
Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Bachelor's in computer science or similar discipline. Experience working with OpenShift, Google Cloud Platform and Gen AI projects. Experience applying Agile practices to solution delivery. Experience in all phases of the development lifecycle. Must be team-oriented and have excellent communication and presentation skills. Open to learning new technology. Knowledge of coding and software engineering best practices.
Experience Required:
4+ years of work experience as a software engineer with exceptional software engineering knowledge. 2+ year of experience and good understanding of OpenShift / Google Cloud Platform / DevOps / CICD / Docker / Kubernetes / GitHub. Good to know Python. Understanding or desire to learn end to end Machine Learning and Gen AI technology stack (Tools such as Kubeflow, Airflow, Seldon Core, Weights & Biases, Labeling tools etc). Strong communication and presentation skills, ability to share/teach others, willing to learn and work collaboratively with others.
Experience Preferred:
Some experience in Python.
Education Required:
Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.