Key skills
Machine learningGenerative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)PythonSQLApache SparkDatabricksMLflowAzure cloud servicesMLOpsChatbot developmentConversational AICustomer-facing skillsAIMachine LearningMLLLMRAGData EngineeringAnalyticsSparkAzureJiraAgileCommunication
About this role
Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. The AI/Machine Learning Engineer will join a collaborative team to design and implement scalable machine learning models and AI solutions that address operational challenges.
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
Requirements:
- 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
- Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
- 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