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# AI/Machine Learning Engineer

- **Company:** Metas Solutions
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, JIRA, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Feature Engineering, Chatbots, Large Language Models, Apache Spark, Generative AI, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7a5ec83a262f7866

## About the Role

* 3+ years of experience designing, developing, and deploying machine learning models
 * 3+ years of experience with Generative AI, LLMs, or RAG applications
 * 4+ years of hands-on experience with Python for ML and data engineering
 * Experience with SQL for data manipulation and feature engineering
 * Experience with big data tools such as Apache Spark
 * Experience with Databricks and MLOps tools like MLflow
 * Experience with cloud, preferably in Azure
 * Ability to exhibit strong communication and customer-facing skills
 * Ability to thrive both independently and in cross-functional teams
 * Ability to solve problems and stay current with emerging ML trends

Additional Qualifications:

 * Experience with full-stack development or deploying end-to-end ML applications
 * Experience with chatbot development or conversational AI
 * Experience fine-tuning large models
 * Experience with deploying ML solutions using MLOps pipelines
 * Knowledge of Agile workflows and tools like JIRA, * Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period

## Description

* Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
 * Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
 * Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL and Spark.
 * Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
 * Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.


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