AI/ML Engineer

In this role, you will collaborate directly and continuously with other engineers, business partners, product managers and designers from distributed locations, and will release features early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (like OpenAI’s GPT) to deliver next-gen analytics innovation.

As a AI/ML Engineer, you will work on developing features for Mach1ML platform, support customers in model deployment using Mach1ML platform on GCP and On-prem. You will follow Rally to manage your work. You will incorporate an understanding of product functionality and customer perspective for model deployment. You will work on the cutting-edge technologies such as GCP, Kubernetes, Docker, Seldon, Tekton, Airflow, Rally, etc.

Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Ford Agile Framework. 
Work with Developers and ML engineers to tackle challenging AI problems.
Work specifically on the Deploy team to drive model deployment and AI/ML adoption with other internal and external systems. 
Help innovate by researching state-of-the-art deployment tools and share knowledge with the team. 
Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
Leverage latest GCP, CICD, ML technologies

Bachelor’s or master’s degree in computer science engineering or related field or a combination of education and equivalent experience.
2+ years of experience in full stack software development
2+ years’ experience in Cloud technologies & services, preferably GCP
2+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc.
3+ years’ experience with Python, SQL, Big Query.
Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI,etc.,
Experience in Train, Build and Deploy ML, DL Models
Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. 
Ability to adapt quickly with opensource products & tools to integrate with ML Platforms
Developing and deploying On-Prem & Cloud environments 
Kubernetes, Tekton, OpenShift, Terraform, Vertex AI