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Machine Learning Engineering Engineer 3

Megan Soft Inc

Job Location:

Dearborn, MI - USA

Monthly Salary: Not provided by the employer

Posted: 16 June 2026 (30+ days ago)

Application Deadline: 13 September 2026

Vacancies: 1 Vacancy

Job Summary

Role: ML/AI Engineer

Location: Dearborn MI (Onsite)

Position Description:

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.

This role combines expertise in Data Science Software Engineering and MLOps to deliver scalable production-ready AI systems that generate measurable business value.

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.

Key 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.
Collaborate closely with business and technical stakeholders to identify opportunities and translate business challenges into AI-driven solutions.
Monitor model performance and implement ongoing enhancements based on business feedback operational metrics and evolving requirements.
Stay current with advancements in AI Generative AI Agentic AI and MLOps to continuously improve solution capabilities and delivery approaches.

Required Qualifications

Bachelors or Masters degree in Computer Science Data Science Engineering or a related discipline.
Strong programming experience in Python including backend development API design automation and software engineering best practices.
Hands-on experience building deploying and supporting machine learning models in production environments.
Experience with machine learning frameworks such as Scikit-learn TensorFlow and/or 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/or AWS. Strong understanding of software development lifecycle version control testing and deployment practices. Excellent analytical problem-solving and communication skills. Ability to thrive in a fast-paced agile environment with evolving priorities and business needs

Skills Required:

Python Machine Learning Data Science GCP Big Query

Experience Required:

Engineer 3 Exp: 2 coding lang. or adv. 1 lang. 6 years in IT; 4 years in development Experience designing and implementing Agentic AI solutions multi-step workflows autonomous agents and tool-calling architectures.
Experience with AI orchestration frameworks such as LangChain LlamaIndex CrewAI AutoGen or similar technologies. Hands-on experience with MLOps tools and platforms including MLflow Airflow Vertex AI SageMaker Kubeflow or equivalent solutions.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with vector databases embeddings Retrieval-Augmented Generation (RAG) and semantic search architectures.
Experience working with enterprise-scale data environments data lakes and large datasets. Experience optimizing AI systems for scalability performance reliability and cost efficiency. Experience building AI-powered products dashboards analytics solutions or intelligent automation platforms.