Experienced Data Science AI Engineer

Your role in our mission

• AI Model Development - Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
• End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
• Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration - Implement and optimize AI solutions within Gainwell's existing technology stack, collaborating with engineering teams to ensure seamless integration.
• Performance Optimization - Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices.
• AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

What we're looking for

• Master's or Ph.D in Computer Science, AI, Data Science, or a related field.
• 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• Hands-on expertise in production operations involving machine learning, deep learning and GenAI.
• Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), TensorFlow, PyTorch, and other AI frameworks.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency.
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MLOps for scalable AI deployments.
• Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
• Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

Equal opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.