DescriptionIn this position...
in this & Transformation is looking for a data scientist with exceptional skills in Machine Learning (ML) and Artificial Intelligence (AI). We are seeking an experienced data scientist with a strong focus on building and maintaining sophisticated full-stack applications
The successful candidate will possess a proven track record of designing developing and deploying successful innovative Generative AI (GenAI) software solutions. This role requires a proven communicator who effectively interfaces between technical and business teams translating complex AI capabilities and technical insights into actionable business value.
ResponsibilitiesWhat youll do...
- Architect develop and deploy end-to-end agentic full-stack Generative AI (GenAI) applications that solve complex real-world problems with a specific focus on improving engineering challenges and inefficiencies.
- Design and implement robust scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS) ensuring efficient deployment and maintenance of AI solutions.
- Lead the integration of new cloud technologies and AI tools (e.g. Vertex AI) into our workflows continuously evaluating their potential and articulating their business value to drive innovation and efficiency.
- Develop intuitive and responsive front-end user interfaces that enable seamless interaction with agentic AI systems and effectively translate complex outputs into actionable insights.
- Acquire a deep understanding of vehicle engineering problems translating them into appropriate mathematical representations and AI/ML solutions (classification prediction intelligent automation).
- Ensure the overall quality and integrity of data and solutions throughout the development lifecycle from data collection and cleaning to model deployment.
- Provide training and support for implemented AI tools and solutions to business partners ensuring their successful adoption and ongoing value realization.
- Collaborate across the business to understand IT and business constraints.
QualificationsYoull have...
- Bachelors degree in Computer Science & Engineering similar or equivalent combination of relevant education and experience.
- 2 years of experience building full-stack applications in production environments with proficiency in JavaScript/TypeScript React HTML and backend frameworks including Python or Go
- 1 year experience with database systems (SQL NoSQL) API design (REST/GraphQL) and building scalable API services using frameworks such as Flask or FastAPI.
- 1 year experience deploying and maintaining applications in cloud-native environments (e.g. AWS Azure GCP)
- 1 year experience working with DevOps tools (Docker Kubernetes Terraform etc.)
- Leveraging and integrating cloud-based AI tools like Vertex AI into production systems.
- A strong passion for evaluating championing and integrating new technologies and tools particularly within GCP into existing workflows with the ability to clearly articulate and justify their business value and impact.
- Exceptional collaboration skills with the ability to effectively interface between technical development teams and business stakeholders understanding and navigating both IT and business constraints.
- Comfortable working in ambiguous environments where problems are not always well-defined and solutions require innovative thinking.
Even better you may have...
- Masters degree in Computer Science & Engineering similar or equivalent combination of relevant education and experience.
- 5 years of Python development experience specifically for: Advanced data manipulation and analysis using libraries such as Pandas.
- Machine Learning model development including Natural Language Processing (NLP) and utilizing deep learning frameworks like PyTorch TensorFlow and Keras.
- 3 years of hands-on experience developing and deploying solutions on major cloud platforms including Google Cloud Platform (GCP) or Amazon Web Services (AWS).
- 3 years of Front-End Development experience using modern web technologies like React JavaScript and HTML to build intuitive user interfaces for AI applications.
You may not check every box or your experience may look a little different from what weve 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 builderor all of the above No matter what you choose we offer a work life that works for you including:
Immediate medical dental vision and prescription drug coverage
Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement fertility treatments and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays including the week between Christmas and New Years Day
Paid time off and the option to purchase additional vacation time.
For more information on salary and benefits click here: position is a range of salary grades 7-8.
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-DE