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 youll 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:

• Bachelors 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 youll 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 wed 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 youll 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

Working at ICF

Pay Range - There are multiple factors that are considered in determining final pay for a position including but not limited to relevant work experience skills certifications and competencies that align to the specified role geographic location education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is: