Software Engineer-Senior

Manpower

Dearborn, MI, United States

2 months ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

careerboard.com

Tech stack

Artificial Intelligence Airflow Data Analysis Bash Shell BigQuery Cloud Computing Cloud Engineering Computer Engineering Data Intelligence Python (Programming Language) Machine Learning Object-Oriented Software Development

+13 more

Windows PowerShell Cloud Services Azure Machine Learning Software Engineering Scripting Large Language Models Containerization Kubernetes Information Technology Machine Learning Operations Terraform Docker Jenkins

Job description

The Global Data Insight & Analytics organization is seeking a Software Engineer to lead and advance our internal Data Science and AI/ML platform strategy. In this role, you will be part of a dynamic, cross-functional team, collaborating closely and consistently with other engineers, business partners, product managers, and designers. You will be involved in frequent and iterative releases. Your focus will be on software engineering, specifically in developing machine learning and generative AI applications, as well as creating reusable AI/ML components. Required

Requirements

A Bachelor’s degree in Computer Science/Computer Engineering or similar technical discipline.
3+ years of work experience as a Back End software engineer in Python with exceptional software engineering knowledge.
2+ years of experience with Cloud Engineering/Services.
Experience in MLOPs and Gen AI - LLM, Development experience with building RAG and Multi Agent Application.
Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
Advanced working knowledge of object-oriented/object function programming languages: Python, C/C+
Experience in DevOps: Jenkins/Tekton etc.
Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.
Experience in container management solution: Kubernetes, Docker.
Experience in Scripting language: Bash, PowerShell etc.
Experience with Infrastructure as code: Terraform etc.