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Experis IT ManpowerGroup has partnered with a leading Manufacturing industry organization in the Dearborn, MI for a Software Engineer Senior role to assist their team. This is an on-site role.
Title: Software Engineer Senior
Location: Dearborn, MI
Duration: 3 months contract with possible extension or hiring
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:
• A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
• 3+ years of work experience as a backend 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
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.