Principal AI Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, construct, and train machine learning and deep learning models, encompassing GenAI, NLP, and predictive analytics solutions tailored for healthcare applications.

• Develop, test, and implement AI solutions in both cloud-based and on-premise environments.

• Work with extensive healthcare datasets, including data preprocessing, feature engineering, and model training.

• Ensure adherence to HIPAA and other regulatory standards.

• Implement and enhance AI models within Gainwell’s existing technology framework.

• Collaborate with software engineers to guarantee seamless integration of systems.

• Monitor, refine, and optimize AI models for accuracy, efficiency, and speed by utilizing MLOps best practices.

• Stay up-to-date with advancements in AI/ML and investigate new technologies and methodologies.

• Ensure AI implementations comply with healthcare regulations, ethical AI principles, and data privacy standards.

• Identify opportunities for workflow automation and optimize business processes through AI-driven solutions.

⛳️ Requirements

• Master’s or Ph.D. in Computer Science, AI, Data Science, or a related discipline.

• Over 5 years of experience in AI/ML engineering.

• Practical experience with GenAI, NLP, deep learning, and computer vision.

• Proficient coding skills in Python.

• Experience working with TensorFlow and PyTorch.

• Familiarity with LLMs such as GPT, Gemini, and Claude, including prompt engineering and optimization.

• Knowledge of AWS, Azure, or GCP platforms.

• Understanding of MLOps practices.

• Familiarity with big data tools, including Spark, Hadoop, and SQL/NoSQL.

• Experience in developing, deploying, and fine-tuning LLMs for practical applications.

• Strong problem-solving abilities and the capacity to translate business challenges into AI-driven solutions.

• Understanding of healthcare AI and regulatory standards such as HIPAA and CMS is advantageous.

• Video cameras must be utilized during all interviews and the initial week of orientation.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for learning and career advancement.

• Access to technical credentials and certifications.

• Generous and flexible vacation policy.

• Educational assistance programs.

• Leadership and technical development academies.

• 401(k) employer matching.

• Comprehensive health benefits.

• Occasional travel opportunities (0-10%).