Machine Learning Engineer

hace 3 semanas


Mexico City Ford Motor Company A tiempo completo

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. 


Minimum Qualifications

English proficiency (written and verbal) A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.  2+ years of experience with Python and Cloud Engineering / Services such as GCP Vertex AI and related services. Experience with ML workflow orchestration tools: , Airflow, Kubeflow etc.  Experience in DevSecOps using tools such as Jenkins/Tekton, Checkmarx etc. Experience in container management solution: ., Kubernetes, Docker, GKE. Experience in scripting language: ., Bash, PowerShell etc. 

Desired Skills

Masters in Computer Science / Machine Learning or related field. Experience with Terraform. Experience in software craftsmanship practices such as Paired Programming, Test Driven Development. Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: Sklearn, Tensorflow, Pytorch etc. is a big plus. Experience applying Agile practices to solution delivery. Knowledge of GenAI technologies and concepts.

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.
 


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