Job Description

Stefanini Group is hiring!


Stefanini is looking for a Machine Learning Engineer, Location: Dearborn, MI (Hybrid)


For quick apply, please reach out Pawan Rawat at /


Open to W2 candidates only!






We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release 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 enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc).






Position Responsibilities:Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in Google Cloud Platform 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 mange current CI/CD ecosystem and toolsFind ways to automate and continually improve current CI/CD processes and release processesExamine, inspect codes / scripts and resolve issuesHelp 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 / Google Cloud Platform/AIOPs/Kubernetes technologies

Skills 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 / ServicesExperience 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 is a big plus Experience in DevOps: Jenkins/Tekton etc.Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery etc.Experience in container management solution: Kubernetes, DockerExperience in scripting language: Bash, PowerShell etc.Experience with Infrastructure as code: Terraform etc






Experience 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 / ServicesExperience 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 is a big plus Experience in DevOps: Jenkins/Tekton etc.Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery etc.Experience in container management solution: Kubernetes, DockerExperience in scripting language: Bash, PowerShell etc.Experience with Infrastructure as code: Terraform etc






Skills Preferred:Master focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(Google Cloud Platform) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience 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 Preferred:Experience and good understanding of Google Cloud Platform, DevOPs, AI/ML and GEN AI


Education Required:A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.






**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***






Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.






About Stefanini Group


The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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• Dice Id: 10106616
• Position Id: 57894

Job Tags

Contract work, Work experience placement, Local area, Offshore,

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