Software - Machine Lrng at Ford Global Career Site

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Generative AI, Machine Learning, RAG Systems, Vector Databases, OpenAI SDK, Model Fine-Tuning, APIs, FastAPI, Containerization, Data Engineering, Data Pipelines, Prompt Engineering, Cloud Platforms, Google Cloud Platform, MLOps, CI/CD

Industry

Motor Vehicle Manufacturing

Description

Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK. Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments. Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility. Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs, and expose these capabilities through well-designed APIs. Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (GCP), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices. Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field. 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields. Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline. Experience deploying AI/ML models into production environments at scale. Previous experience in a large enterprise or fast-paced technology environment. 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 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 Year's Day Paid time off and the option to purchase additional vacation time. This position is a salary grade 8. For more information on salary and benefits, click here: https://fordcareers.co/GSRSP2 Visa sponsorship is available for this position. Verification of employment eligibility will be required at the time of hire.

Responsibilities

Design, develop, and implement Generative AI models and applications, focusing on RAG systems and vector databases. Collaborate with cross-functional teams to integrate AI solutions into existing products and ensure scalability and reliability.