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# AI/ML Engineer

- **Company:** Infinite Computer Solutions (ICS)
- **Location:** Richmond, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software Applications, Computer Programming, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, NoSQL, NumPy, OpenAI, Tensorflow, Search Technologies, SQL Databases, Systems Integration, Unstructured Data, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, AWS Lambda, Backend, Git, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, Cloudwatch, Api Gateway, Restful APIs, Data Pipelines, Software Library, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.dice.com/job-detail/cd39af4e-e61e-4906-a72a-d94f3b8e2fde

## About the Role

We are seeking a highly motivated AI / ML Engineer with 2 to 5 years of experience in designing, developing, and deploying machine learning and generative AI solutions. The ideal candidate should have strong expertise in Python, AWS Cloud Services, and OpenAI/LLM technologies, with hands-on experience building scalable AI applications and integrating them into enterprise environments., * Strong programming expertise in Python.

 * Hands-on experience with Machine Learning libraries such as:
 + Scikit-learn
 + Pandas
 + NumPy
 + TensorFlow or PyTorch
 * Experience with Generative AI and OpenAI APIs.
 * Strong understanding of:
 + Large Language Models (LLMs)
 + Prompt Engineering
 + RAG Architectures
 + Embeddings and Vector Search
 * Experience with AWS Services, including:
 + AWS Lambda
 + EC2
 + S3
 + API Gateway
 + SageMaker
 + Bedrock (preferred)
 + CloudWatch
 * Experience building RESTful APIs and microservices.
 * Familiarity with SQL and NoSQL databases.
 * Experience with Git, CI/CD pipelines, and DevOps practices., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 * 2 to 5 years of hands-on experience in AI/ML engineering or data science roles.
 * Demonstrated experience delivering AI/ML solutions into production environments.

## Description

* Design, develop, and deploy Machine Learning and Generative AI solutions.
 * Build and maintain AI-powered applications using OpenAI APIs, LLMs, and prompt engineering techniques.
 * Develop scalable backend services and APIs using Python.
 * Implement RAG (Retrieval-Augmented Generation), vector databases, and AI orchestration frameworks.
 * Deploy, monitor, and optimize ML models on AWS cloud infrastructure.
 * Work with structured and unstructured data for model training, fine-tuning, and evaluation.
 * Build and manage data pipelines for AI/ML workloads.
 * Collaborate with product managers, architects, and business stakeholders to translate requirements into AI solutions.
 * Ensure model performance, reliability, security, and scalability in production environments.
 * Stay current with emerging AI, ML, and Generative AI technologies.