Senior AI/ML

About HireRight

HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. PBSA accredited and based in Nashville, TN, we offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide.

Overview

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing AI/ML team. This role is ideal for someone who has deep expertise in machine learning model development and deployment, MLOps practices, and a strong grasp of modern tools and frameworks used for scalable, production-grade machine learning solutions.

Responsibilities

• Design, build, and optimize machine learning models using standard algorithms (e.g., classification, regression, clustering).
• Work with Large Language Models (LLMs) and have foundational understanding of Generative AI concepts and applications.
• Deploy models to production environments with robust monitoring, alerting, and logging.
• Implement MLOps best practices, ensuring reproducibility, scalability, and continuous improvement of ML workflows.
• Develop and manage CI/CD pipelines for model training, evaluation, and deployment.
• Build scalable API services using Flask or FastAPI to expose ML models.
• Containerize applications and services using Docker.
• Work with cloud platforms such as Azure or GCP for data storage, compute, and model deployment.
• Collaborate with cross-functional teams including data scientists, product managers, and DevOps engineers.

Qualifications

• Strong foundation in machine learning concepts and hands-on experience in model building and evaluation.
• Experience with model inference pipelines and deploying models into real-world applications.
• Proficient in Python and ML libraries like scikit-learn, XGBoost, TensorFlow, PyTorch, etc.
• Hands-on experience with CI/CD tools like GitHub Actions, Jenkins, Azure DevOps, or GitLab CI.
• Solid understanding of MLOps workflows, tools like MLflow, Kubeflow, or TFX.
• Experience developing APIs using Flask/FastAPI and deploying them using Docker.
• Familiarity with cloud environments (Azure/GCP) and associated ML services.
• Experience monitoring deployed models (e.g., drift detection, performance tracking).

Nice to Have:

• Experience with feature stores, vector databases, or streaming data processing.
• Exposure to LLM fine-tuning, prompt engineering, or using models via APIs (e.g., OpenAI, Hugging Face).
• Familiarity with data versioning and experiment tracking tools.

What do we offer

Please submit resume/CV in English.

All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee.