AI Engineer

Position Overview

Free Market Health, founded in 2019 and headquartered in Pittsburgh, PA, supports forward-thinking payers and specialty pharmacies of all sizes. We empower all stakeholders to optimize resources and maximize opportunities while focusing on the most important stakeholder of all: the patient. As an AI Engineer, you will be responsible for designing, developing, and deploying cutting-edge artificial intelligence and machine learning models to address complex challenges and enhance our products and services.

Key Responsibilities

• AI Model Development: Design, develop, and deploy machine learning and deep learning models for applications including natural language processing (NLP), computer vision, and predictive analytics.
• Data Preprocessing: Clean, preprocess, and structure large datasets to ensure quality, consistency, and accuracy for model training.
• Algorithm Implementation: Implement state-of-the-art machine learning algorithms and optimization techniques to improve model performance and efficiency.
• Collaboration: Work closely with cross-functional teams (engineering, product, business) to understand requirements and deliver AI solutions that meet business goals.
• Model Evaluation & Improvement: Continuously test, evaluate, fine-tune, and retrain models based on feedback, new data, and evolving requirements.
• Deployment: Deploy AI models into production environments ensuring scalability, reliability, and performance.
• Research & Innovation: Stay updated with the latest developments in AI/ML technologies and contribute to novel approaches to advance AI capabilities.
• Documentation & Reporting: Maintain thorough documentation for code, processes, models, and algorithms; present insights to technical and non-technical stakeholders.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field. PhD is a plus.
• Experience: Proven experience (2+ years) working with machine learning, deep learning, or AI technologies; familiarity with frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn; and experience with cloud platforms (AWS, Azure, Google Cloud) is preferred.
• Skills: Strong proficiency in languages such as Python, Java, or C++; solid understanding of algorithms, data structures, and mathematics (linear algebra, probability, statistics); experience with data preprocessing, feature engineering, and model evaluation techniques; and familiarity with version control systems like Git.
• Soft Skills: Strong analytical, problem-solving, and troubleshooting abilities; excellent communication skills to explain technical concepts to non-technical stakeholders; and the ability to work independently as well as collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience with specific AI technologies, such as NLP, computer vision, reinforcement learning, etc.
• Familiarity with deploying AI models in production using containers and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.