AIML Lead Engineer
AIML Lead Engineer
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Job Description
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 OpenAIs GPT) to deliver nextgen analytics innovation.
Responsibilities
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 Onprem. 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 cuttingedge 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 stateoftheart 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
Qualifications
Bachelors or masters 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 kmeans clustering factor analysis multivariate 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 AIetc.
Experience in Train Build and Deploy ML DL Models
Ability to understand technical functional nonfunctional security aspects of business requirements and delivering them endtoend.
Ability to adapt quickly with opensource products & tools to integrate with ML Platforms
Developing and deploying OnPrem & Cloud environments
Kubernetes Tekton OpenShift Terraform Vertex AI
Employment Type
Full-Time
