Overview
On Site
Full Time
Skills
Google Cloud
Test-driven development
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Use cases
Agile
Pair programming
Problem solving
Deep learning
Continuous improvement
Solution delivery
Computer science
Software engineering
IT service management
Strategy
Artificial intelligence
Collaboration
Data
Facebook
Training
Python
PyTorch
TensorFlow
XGBoost
Orchestration
React.js
AngularJS
Software development
DevOps
Docker
GitHub
Continuous integration
Continuous delivery
Communication
Presentations
Cloud computing
Design
IMPACT
Pricing
Oracle Application Express
SAP BASIS
Law
Innovation
Recruiting
Job Details
Job#: 2024993
Job Description:
Position Description:
GDI&A is looking for a Software Engineer focused on building and driving the strategy forward for our internal AI/ML platform. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with business partners, product managers and designers, and will release early and often. The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (Ford's AI/ML platform similar to Uber's Michelangelo, Facebook's FBLearner, etc) on Google Cloud Platform journey or other ML Engineering / MLOps tasks, focusing on Mach1ML adoption and AI/ML democratization.
Skills Required:
Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology. Work with other Software and ML Engineers to tackle challenging AI problems. Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest ML and Google Cloud Platform technologies. Work with Architects to make technical decision on tools, integration, and other issues. 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. Grow technical capabilities / expertise and provide guidance to other software engineers on the team.
Skills Preferred:
Experience working with Google Cloud platform. Experience with Python and has used Machine Learning tools (pytorch, tensorflow, xgboost etc). Experience using orchestration tools like Airflow. Good to have experience or knowledge of Deep Learning, LLM. Basic knowledge on React / Angular. Experience in supporting continuous improvement by investigating development alternatives. Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc. Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts. Experience applying Agile practices to solution delivery. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Open to learning new technology. Strong communication and presentation skills, ability to share/teach others, work collaboratively with others. Good understanding of cloud design considerations and limitations and impact of pricing.
Experience Required:
Bachelor's degree in Computer Science or a related field of study 2+ years of experience in Python, Machine Learning Technologies or Deep Learning. 3+ years of work experience as a software engineer with exceptional software engineering knowledge. Experience working with Google Cloud Platform or other cloud experience.
Education Required:
Bachelor's degree in Computer Science or a related field of study
Additional Information :
Google Cloud Platform Engineer Preferably Hybrid Will consider Remote candidates
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 is looking for a Software Engineer focused on building and driving the strategy forward for our internal AI/ML platform. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with business partners, product managers and designers, and will release early and often. The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (Ford's AI/ML platform similar to Uber's Michelangelo, Facebook's FBLearner, etc) on Google Cloud Platform journey or other ML Engineering / MLOps tasks, focusing on Mach1ML adoption and AI/ML democratization.
Skills Required:
Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology. Work with other Software and ML Engineers to tackle challenging AI problems. Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest ML and Google Cloud Platform technologies. Work with Architects to make technical decision on tools, integration, and other issues. 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. Grow technical capabilities / expertise and provide guidance to other software engineers on the team.
Skills Preferred:
Experience working with Google Cloud platform. Experience with Python and has used Machine Learning tools (pytorch, tensorflow, xgboost etc). Experience using orchestration tools like Airflow. Good to have experience or knowledge of Deep Learning, LLM. Basic knowledge on React / Angular. Experience in supporting continuous improvement by investigating development alternatives. Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc. Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts. Experience applying Agile practices to solution delivery. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Open to learning new technology. Strong communication and presentation skills, ability to share/teach others, work collaboratively with others. Good understanding of cloud design considerations and limitations and impact of pricing.
Experience Required:
Bachelor's degree in Computer Science or a related field of study 2+ years of experience in Python, Machine Learning Technologies or Deep Learning. 3+ years of work experience as a software engineer with exceptional software engineering knowledge. Experience working with Google Cloud Platform or other cloud experience.
Education Required:
Bachelor's degree in Computer Science or a related field of study
Additional Information :
Google Cloud Platform Engineer Preferably Hybrid Will consider Remote candidates
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.