AI/Machine Learning Engineer

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.

Job Description

Metas Solutions has an "opening" for a talented AI/Machine Learning Engineer. True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.

You'll contribute to building and scaling intelligent systems-from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.

Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.

Responsibilities

• 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.

• 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

• 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
• Market competitive salary, commensurate with experience and education
• Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities