The Global Data Insight & Analytics organization at Ford is seeking a Software Engineer to lead and advance their internal Data Science and AI/ML strategy, focusing on developing machine learning and generative AI applications on Google Cloud and creating reusable AI/ML components.
Requirements
- 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
- 3+ years of experience with Cloud Engineering / Services
- Experience in MLOPs and Gen AI – LLM, Development experience with building RAG and Multi Agent Applications
- Experience with ML workflow orchestration tools: Airflow
- Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++
- Experience in DevOps: Jenkins/Tekton etc.
- Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQueryetc.
Responsibilities
- Work closely with Tech Anchor, Product Manager and Product Owner to deliver Gen AI solution in GCP using Python and other tools for business across the company.
- Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.
- Develop and manage current CI/CD ecosystem and tools
- Find ways to automate and continually improve current CI/CD processes and release processes
- Help innovate standardize machine learning development practices.
- Experiment, innovate and share knowledge with the team.
- Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies
Other
- A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
- 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.
