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AI/ML Engineer (Data Science & Intelligent Automation)

Job

Vega Intellisoft Inc.

Dearborn, MI (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/28/2026

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Job Description

AI/ML Engineer (Data Science & Intelligent Automation)
Location:
Dearborn, MI Employment Type:
Fulltime Visa:
H1B, GC We are seeking an experienced AI/ML Specialist with strong hands-on expertise in Generative AI, Intelligent Automation, and enterprise-scale AI/ML implementations. The ideal candidate will work on advanced AI initiatives involving production-grade LLMs, Agentic AI frameworks, MLOps/LLMOps, and scalable automation solutions.
Job Description:
Develop AI algorithms, ML models, and intelligent automation solutions for complex business problems Build production-grade LLM implementations including RAG pipelines, prompt engineering, and hallucination mitigation Work with Agentic AI frameworks such as AutoGen, CrewAI, and LangGraph Apply AI techniques including Deep Learning, NLP, Generative AI, Reinforcement Learning, Image Processing, and Intelligent Automation Design scalable AI/ML workflows, automation pipelines, and enterprise AI architectures Deploy and integrate AI models into enterprise systems and business applications Implement MLOps / LLMOps practices using Google Cloud Platform Vertex AI, MLflow, Kubeflow, AWS SageMaker, or Azure ML Develop reusable integration patterns and scalable data structures Collaborate with stakeholders to translate business requirements into technical AI solutions Design and maintain data pipelines supporting model inference and automation workflows Partner with engineering teams to align AI solutions with enterprise data structures
Required Skills:
5+ years of experience in AI/ML, Data Science, or Advanced Analytics Strong hands-on experience with production AI/ML implementations Expertise in Python and SQL Experience with Graph Query Languages such as Cypher is a plus Strong cloud platform and MLOps/LLMOps experience Ability to clearly articulate real-world implementation experience Supply chain domain experience is a plus but not mandatory Excellent analytical, communication, and stakeholder management skills Bachelor s degree in Computer Science, Engineering, Data Science, or related field required.
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