Cloud Software Engineer

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position... 

The Global Data Insight & Analytics organization is seeking a Cloud Software Engineer to lead and advance our internal Data Science and AI/ML strategy. In this role, you will be part of a dynamic, cross-functional team, collaborating closely and consistently with other engineers, business partners, product managers, and designers. You will be involved in frequent and iterative releases. Your focus will be on backend software engineering, specifically in developing machine learning and generative AI applications, as well as creating reusable AI/ML components. 

What you'll do...

• Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution  in GCP using Python and other tools for the data scientists and business across the company.  
• Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.
• Maintain and mange current CI/CD ecosystem and tools
• Find ways to automate and continually improve current CI/CD processes and release processes
• Examine, inspect codes / scripts and resolve issues 
• Help innovate standardize machine learning development practices. 
• Experiment, innovate and share knowledge with the team.  
• Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies

You'll have... 

• A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline. 
• 2+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
• 2+ years of experience with Cloud Engineering / Services
• Experience in MLOPs and Gen AI – LLM, Development experience with building Gen AI and Multi Agent Application
• Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. 
• Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++
• Experience in DevOps: Tekton etc.
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery  etc. 
• Experience in container management solution: Kubernetes, Docker
• Experience in scripting language: Bash, PowerShell etc. 
• Experience with Infrastructure as code: Terraform etc

 

Even better, you may have…

• Master focused in Computer Science / Machine Learning or related field 
• Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure
• Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
• Knowledge of coding and software craftsmanship practices.
• Must be a quick learner and open to learning new technology.
• Experience applying agile practices to solution delivery.
• Must be team-oriented and have excellent oral and written communication skills.
• Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for y