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# AI & Machine Learning Engineer

- **Company:** V-Work Infotech Solutions INC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Information Engineering, Machine Learning, Recommender Systems, Unstructured Data, Chatbots, Data Ingestion, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Information Technology, Low Latency, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/4742c175-b170-46cc-9e23-c549c98d855b

## About the Role

* Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
 * 10-15+ years of IT experience, with significant experience in AI/ML engineering.
 * Strong understanding of machine learning algorithms, deep learning, and Generative AI.
 * Experience delivering enterprise AI solutions.
 * Excellent communication and problem-solving skills.

## Description

We are seeking an experienced AI & Machine Learning Engineer with 10-15+ years of IT experience to design, develop, and deploy scalable AI and machine learning solutions. The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), deep learning, MLOps, cloud platforms, and production-grade AI systems. You will collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven products and intelligent automation solutions., * Design, develop, and deploy machine learning and Generative AI solutions.

 * Build, fine-tune, and optimize Large Language Models (LLMs) and foundation models.
 * Develop Retrieval-Augmented Generation (RAG) applications.
 * Design AI architectures for enterprise-scale applications.
 * Build end-to-end ML pipelines from data ingestion to model deployment.
 * Develop AI-powered chatbots, virtual assistants, and recommendation systems.
 * Implement prompt engineering techniques to improve LLM performance.
 * Deploy models using MLOps best practices.
 * Optimize model accuracy, latency, scalability, and cost.
 * Work with structured, semi-structured, and unstructured datasets.
 * Collaborate with Data Engineering teams to build scalable AI platforms.
 * Monitor production AI systems and continuously improve model performance.
 * Ensure AI solutions follow security, governance, and responsible AI practices.
 * Mentor junior engineers and provide technical leadership.


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