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 OpenAI's GPT, Facebook's FBLearner, etc.) to deliver next-gen analytics innovation.
We strongly believe that data has the power to help create great products and experiences which delight our customers. We believe that actionable and persistent insights, based on high quality data platform, help business and engineering make more impactful decisions.
Our ambitions reach well beyond existing solutions, and we are in search of innovative individuals to join this Agile team. This is an exciting, fast-paced role which requires outstanding technical and organization skills combined with critical thinking, problem-solving and agile management tools to support team success.
Responsibilities
As a Software 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 Data Scientists 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
Qualifications
- Bachelor's or master's degree in computer science engineering or related field or a combination of education and equivalent experience.
- 3+ years of experience in full stack software development
- 3+ years experience in Cloud technologies & services, preferably GCP
- 3+ 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, BQ.
- Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, 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
- Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.)
- Developing and deploying On-Prem & Cloud environments
- Kubernetes, Tekton, OpenShift, Terraform, Vertex AI
