Data Science AI Engineer, Advisor

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

📋 Description

• Design, construct, and train machine learning, deep learning, time series, multimodal LLM, predictive analytics, natural language processing, and image processing solutions tailored for healthcare applications.

• Develop, test, and deploy AI solutions in both cloud and on-premises environments.

• Process extensive healthcare datasets, which includes data preprocessing, feature engineering, and model training.

• Create APIs and integrations.

• Integrate and optimize AI models within Gainwell’s current technology infrastructure.

• Collaborate with software engineers to ensure smooth system integration.

• Assess models and consistently monitor the performance of ML/DL and LLM.

• Implement security measures and establish guardrails in Generative AI solutions.

• Monitor, refine, and enhance AI/Generative AI models for accuracy, efficiency, and speed.

• Research and incorporate the latest technologies and methodologies in AI, ML, and Generative AI.

• Ensure adherence to healthcare regulations, ethical AI standards, and data privacy protocols.

• Identify opportunities for workflow automation and business process optimization through AI-driven solutions.

• Convert business requirements into suitable AI solutions and collaborate with team leads across various functions and departments.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field.

• Over 6 years of experience in AI/ML engineering, particularly in developing and deploying AI solutions.

• Familiarity with various LLM fine-tuning techniques.

• Experience in building Generative AI solutions utilizing RAG architecture.

• Proficient in LangChain and LangGraph.

• Experience with Agentic AI frameworks and workflows using LangChain, LangGraph, CrewAI, or OpenAI Swarm.

• Knowledge of multiple vector databases and graph databases.

• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.

• Experience in developing, deploying, and fine-tuning LLMs such as GPT, Gemini, Claude, or similar models.

• Experience with prompt engineering, model optimization, and inference efficiency.

• Familiarity with AWS, Azure, or GCP and MLOps for scalable AI deployments.

• Proficient with Spark, Hadoop, SQL, and NoSQL databases.

• Knowledge of healthcare AI applications and regulatory compliance, including HIPAA and CMS, is advantageous.

• Proficiency in Streamlit is required; experience with React, Angular, or Vue.js is preferred.

• Capability to work as a team lead, engage with other functions/departments, comprehend business requirements, and translate them into practical solutions.

• Excellent problem-solving, interpersonal, and architectural skills.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for learning and career advancement.

• Access to technical credentials and certifications.

• Generous and flexible vacation policy.

• Educational assistance.

• Leadership and technical development academies.

• 401(k) employer matching.

• Comprehensive health benefits.