MLOps Engineer

Stefanini Group is hiring!

Stefanini is looking for a MLOps Engineer (Dearborn MI)

For quick apply please reach out to Navneet Pathak at /

We are seeking an experienced AI Engineer to design develop and deploy intelligent solutions that leverage Machine Learning Large Language Models (LLMs) and emerging Agentic AI capabilities to transform business processes and drive operational efficiency. The ideal candidate will have hands-on experience building and operationalizing AI/ML solutions in enterprise environments with a strong focus on Generative AI intelligent automation and cloud-native architectures.

Responsibilities

• Design develop and deploy machine learning models including predictive optimization and Generative AI solutions.
• Build end-to-end AI workflows encompassing data ingestion feature engineering model training deployment monitoring and continuous improvement.
• Develop and implement LLM-powered applications including Retrieval-Augmented Generation (RAG) prompt orchestration agentic workflows and tool integrations.
• Create scalable APIs and AI services that seamlessly integrate with enterprise applications and business processes.
• Establish and maintain MLOps practices including automated training deployment monitoring retraining and performance management.
• Ensure AI solutions are reliable scalable secure and optimized for production environments.

Skills Required

• Python Machine Learning Data Science GCP Big Query
• Python (advanced) SQL Machine Learning & Deep Learning LLMs Prompt Engineering RAG Embeddings Agentic AI / AI Agents / Tool Calling Vector Databases
• ML Frameworks: Scikit-learn TensorFlow PyTorch MLOps: MLflow Airflow CI/CD model deployment & monitoring
• Cloud: AWS or GCP Docker Kubernetes API development (FastAPI / Flask) Data pipelines (ETL) data lakes/warehouses Strong system design & production AI experience

Experience Required

• 6 years of experience in IT; 4 years in development
• Experience designing and implementing Agentic AI solutions multi-step workflows autonomous agents and tool-calling architectures.
• Proficient with AI orchestration frameworks such as LangChain LlamaIndex CrewAI AutoGen and similar technologies.
• Hands-on experience with MLOps tools including MLflow Airflow Vertex AI SageMaker and Kubeflow.
• Expertise in containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with vector databases embeddings Retrieval-Augmented Generation (RAG) and semantic search architectures.
• Strong programming experience in Python including backend development API design automation and software engineering best practices.
• Experience building deploying and supporting machine learning models in production environments with frameworks like Scikit-learn TensorFlow and PyTorch.
• Practical experience developing applications using Large Language Models (LLMs) prompt engineering and Generative AI technologies.
• Experience building AI solutions on cloud platforms such as GCP and AWS.
• Strong understanding of the software development lifecycle version control testing and deployment practices.
• Experience working with enterprise-scale data environments data lakes and optimizing AI systems for scalability performance reliability and cost efficiency.
• Experience building AI-powered products dashboards analytics solutions or intelligent automation platforms.

Education Required

Education Preferred

**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 will 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 a CMM Level 5 company.

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