Machine Learning Engineer Data Scientist

Ford Global Data Insight & Analytics is seeking a Machine Learning DevSecOps Engineer to build and advance its internal Data Science / AI/ML platform. You will deliver MLOps capabilities on Google Cloud Platform (GCP), standardize machine learning development practices, and support the deployment, training, and retraining of production ML models.

You will work in a cross-functional team and collaborate directly and continuously with engineers, business partners and product managers, delivering platform/data products.

• Work closely with the Tech Anchor, Product Manager, and Product Owner to deliver an MLOps platform on GCP using Python and other tools for data scientists across the company.

• Innovate and standardize machine learning development practices.

• Experiment, innovate, and share knowledge with the team.

• Use Git for version control and collaborative development.

• Lead by example through paired programming for cross-training, upskilling, problem-solving, and faster delivery.

• Apply ML, NLP, GCP, MLOps, and Kubernetes technologies to platform development.

• Deploy ML models and algorithms into production, run simulations for algorithm development, and test different scenarios.

• Develop and integrate RESTful APIs to connect systems and services within the ML platform.

• Automate model deployment, training, and retraining using Agile delivery practices and CI/CD/CT (continuous integration, continuous deployment, and continuous training).

• Collaborate with software engineers to understand the platform vision, break work into tasks, and resolve complex issues.

• Grow technical capabilities and provide guidance to other software engineers on the team.

• Partner with software and Data Scientist to tackle challenging AI problems.

Experience: 3+ years with Python and cloud engineering / services, including GCP Vertex AI and related services.

Education: Bachelor’s degree in Computer Science, Computer Engineering, or a similar technical discipline. A master’s degree in Computer Science, Machine Learning, or a related field is preferred.

Technical Requirements:We are looking for candidates with strong Python and cloud engineering skills, experience in ML workflow orchestration and MLOPs, and the ability to support production ML platforms.

Core Technical Requirements:

Python and Cloud Engineering:

• 2+ years of experience with Python and cloud engineering / services such as GCP Vertex AI and related services.