Clearance Jobs
AI/ML Ops Engineer
We are seeking an AI/ML Ops Engineer who is passionate about transforming AI/ML capabilities, especially Natural Language Processing (NLP) and Large Language Models (LLMs/Generative AI), into tangible, high-value features within modern software systems. This role supports a major digital modernization initiative focused on workforce development infrastructure across Puerto Rico. You will focus on automating the deployment, integration, and operationalization of AI capabilities, working with pre-trained and custom models to ensure they are seamlessly embedded into production systems for measurable business and user impact. This includes designing and managing scalable AI/ML pipelines, integrating models with cloud-native platforms, and ensuring solutions remain reliable, explainable, and continuously optimized. This position requires strong MLOps expertise, technical curiosity, and the ability to engage directly with clients, data scientists, and engineers. The work supports a modular, cloud-native platform that spans multiple local development areas and improves public service delivery across Puerto Rico. Job Location: This position is based in Puerto Rico. What You'll Be Doing:
Participate in client and stakeholder sessions to identify automation opportunities and requirements for AI integration, focusing on practical deployment within existing and new systems. Implement AI-driven automation using a mix of pre-trained and fine-tuned models, including NLP and LLM-based solutions, for tasks such as text generation, summarization, classification, and conversational interfaces. Work with data scientists and developers to package and deploy AI capabilities via CI/CD pipelines and container orchestration tools. Integrate cloud-hosted AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, OpenAI, Azure OpenAI) into production systems with security, scalability, and compliance in mind. Apply AI-augmented coding best practices to accelerate development cycles and improve code quality through intelligent tooling and automated testing. Automate AI workflows for ingestion, inference, retraining, and performance optimization, ensuring sustained business value. Implement monitoring solutions for AI feature performance, including drift detection and usage analytics, with triggers for updates or recalibration. Collaborate with software engineers and DevOps teams to ensure seamless integration of AI services into broader platform architecture. What You Must Have:
Bachelor's degree (e.g., Computer Science, Data Engineering, AI/ML, or related discipline). 3+ years of experience in AI/ML operations, AI automation, or integrating AI capabilities into production systems. 3+ years of experience working with Natural Language Processing tools, APIs, or frameworks (spaCy, Hugging Face Transformers, OpenAI API, Azure OpenAI). 2+ years of experience with Large Language Models (Generative AI) and their application in real-world software solutions. 2+ years building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, GitLab CI). 3+ years of experience in Python for integrating and orchestrating AI services; familiarity with MLflow, Kubeflow, or similar frameworks a plus. 3+ years of experience in cloud-native ML/AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and containerization/orchestration (Docker, Kubernetes). US Citizen or Permanent Lawful Resident (Green Card Holder) preferred. Employment must be compliant with eligibility for Public Trust Clearance due to Government Contract. Technologies You'll Use:
Programming & AI: Python, R, TensorFlow, PyTorch, scikit-learn, Hugging Face, spaCy MLOps/Automation: MLflow, Kubeflow, Airflow, Prefect Cloud AI Services: AWS SageMaker, Azure ML, Azure OpenAI, GCP Vertex AI, OpenAI API DevOps: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions Data Engineering: SQL, Spark, Databricks, Kafka Collaboration: Confluence, Jira, SharePoint, Mural/Miro What We'd Like You To Have:
Experience implementing AI model governance and compliance frameworks in production. Knowledge of data versioning (DVC, Delta Lake) and feature store concepts. Familiarity with AI service cost optimization and performance tuning strategies. Strong understanding of monitoring, alerting, and logging for AI-enabled applications. Ability to translate complex AI capabilities into user-friendly, maintainable, and secure system features. Experience with Agile development and iterative delivery cycles. Why You'll Love Working Here:
Generous vacation and retirement plans Comprehensive health benefits Flexible work environment Ongoing training and development opportunities Inclusive and collaborative culture Meaningful work that impacts communities ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals.
We are seeking an AI/ML Ops Engineer who is passionate about transforming AI/ML capabilities, especially Natural Language Processing (NLP) and Large Language Models (LLMs/Generative AI), into tangible, high-value features within modern software systems. This role supports a major digital modernization initiative focused on workforce development infrastructure across Puerto Rico. You will focus on automating the deployment, integration, and operationalization of AI capabilities, working with pre-trained and custom models to ensure they are seamlessly embedded into production systems for measurable business and user impact. This includes designing and managing scalable AI/ML pipelines, integrating models with cloud-native platforms, and ensuring solutions remain reliable, explainable, and continuously optimized. This position requires strong MLOps expertise, technical curiosity, and the ability to engage directly with clients, data scientists, and engineers. The work supports a modular, cloud-native platform that spans multiple local development areas and improves public service delivery across Puerto Rico. Job Location: This position is based in Puerto Rico. What You'll Be Doing:
Participate in client and stakeholder sessions to identify automation opportunities and requirements for AI integration, focusing on practical deployment within existing and new systems. Implement AI-driven automation using a mix of pre-trained and fine-tuned models, including NLP and LLM-based solutions, for tasks such as text generation, summarization, classification, and conversational interfaces. Work with data scientists and developers to package and deploy AI capabilities via CI/CD pipelines and container orchestration tools. Integrate cloud-hosted AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, OpenAI, Azure OpenAI) into production systems with security, scalability, and compliance in mind. Apply AI-augmented coding best practices to accelerate development cycles and improve code quality through intelligent tooling and automated testing. Automate AI workflows for ingestion, inference, retraining, and performance optimization, ensuring sustained business value. Implement monitoring solutions for AI feature performance, including drift detection and usage analytics, with triggers for updates or recalibration. Collaborate with software engineers and DevOps teams to ensure seamless integration of AI services into broader platform architecture. What You Must Have:
Bachelor's degree (e.g., Computer Science, Data Engineering, AI/ML, or related discipline). 3+ years of experience in AI/ML operations, AI automation, or integrating AI capabilities into production systems. 3+ years of experience working with Natural Language Processing tools, APIs, or frameworks (spaCy, Hugging Face Transformers, OpenAI API, Azure OpenAI). 2+ years of experience with Large Language Models (Generative AI) and their application in real-world software solutions. 2+ years building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, GitLab CI). 3+ years of experience in Python for integrating and orchestrating AI services; familiarity with MLflow, Kubeflow, or similar frameworks a plus. 3+ years of experience in cloud-native ML/AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and containerization/orchestration (Docker, Kubernetes). US Citizen or Permanent Lawful Resident (Green Card Holder) preferred. Employment must be compliant with eligibility for Public Trust Clearance due to Government Contract. Technologies You'll Use:
Programming & AI: Python, R, TensorFlow, PyTorch, scikit-learn, Hugging Face, spaCy MLOps/Automation: MLflow, Kubeflow, Airflow, Prefect Cloud AI Services: AWS SageMaker, Azure ML, Azure OpenAI, GCP Vertex AI, OpenAI API DevOps: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions Data Engineering: SQL, Spark, Databricks, Kafka Collaboration: Confluence, Jira, SharePoint, Mural/Miro What We'd Like You To Have:
Experience implementing AI model governance and compliance frameworks in production. Knowledge of data versioning (DVC, Delta Lake) and feature store concepts. Familiarity with AI service cost optimization and performance tuning strategies. Strong understanding of monitoring, alerting, and logging for AI-enabled applications. Ability to translate complex AI capabilities into user-friendly, maintainable, and secure system features. Experience with Agile development and iterative delivery cycles. Why You'll Love Working Here:
Generous vacation and retirement plans Comprehensive health benefits Flexible work environment Ongoing training and development opportunities Inclusive and collaborative culture Meaningful work that impacts communities ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals.