Machine Learning Engineer (Google Cloud Platform)

About the position

Stefanini is looking for a Machine Learning Engineer (Google Cloud Platform) in Dearborn, MI (Hybrid). In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.

Responsibilities

• Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
• Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.
• Maintain and manage current CI/CD ecosystem and tools.
• Find ways to automate and continually improve current CI/CD processes and release processes.
• Examine, inspect codes/scripts and resolve issues.
• Help innovate standardize machine learning development practices.
• Experiment, innovate 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 ML / Gen AI / GCP / Kubernetes technologies.

Requirements

• 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 with ML workflow orchestration tools: Airflow, Kubeflow etc.
• Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++.
• Experience/understanding in MLOPs and Gen AI.
• 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.

Nice-to-haves

• Master focused in Computer Science / Machine Learning or related field.
• Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure.
• Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
• Knowledge of coding and software craftsmanship practices.
• Must be a quick learner and open to learning new technology.
• Experience applying agile practices to solution delivery.
• Must be team-oriented and have excellent oral and written communication skills.
• Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.
• Experience and good understanding of GCP, DevOps, AI/ML and GEN AI.

Benefits

• Competitive salary range of $69.00 - $74.00 per hour.
• Long-term contract position.
• Hybrid work environment.