Experienced Data Science AI Engineer

This is a Fully Remote Job

About Our Client:

The organization operates within the healthcare technology industry, focusing on improving the health and well-being of vulnerable populations across the country and communities. It addresses challenges in healthcare delivery by developing advanced technology solutions that enhance healthcare outcomes and operational efficiency. The program emphasizes work flexibility, learning, and career development for its employees and supports skill growth through leadership and technical development academies.

About the Opportunity:

The EXPERIENCED DATA SCIENCE AI ENGINEER is responsible for designing, developing, and deploying advanced AI technologies, including Generative AI, within healthcare platforms. This role drives the integration and optimization of AI solutions to improve healthcare outcomes and operational processes while ensuring compliance with industry standards. The position contributes to the organization by delivering scalable, reliable AI applications that support data-driven healthcare advancements.

Responsibilities:

• Design and build AI solutions using machine learning models such as GenAI, NLP, and predictive analytics for healthcare.
• Develop, test, and deploy AI solutions in cloud and on-premise environments.
• Process and engineer features from large healthcare datasets in compliance with regulatory standards.
• Integrate AI solutions into existing technology infrastructure collaborating with engineering teams.
• Monitor and optimize AI models for accuracy, efficiency, and speed using MLOps best practices.
• Research and apply the latest AI/ML advancements to improve solution effectiveness.
• Ensure AI systems comply with healthcare regulations, ethical standards, and data privacy.
• Identify opportunities to automate workflows and enhance business processes through AI.

Requirements:

• Master’s or Ph.D. in Computer Science, AI, Data Science, or related field.
• Minimum of 5 years experience in AI/ML engineering with solution development and deployment.
• Hands-on experience with machine learning, deep learning, and Generative AI in production.
• Proficiency in Python, AI agent frameworks (such as Langchain or Crew.ai), TensorFlow, PyTorch, and related AI tools.
• Experience with developing, deploying, and fine-tuning large language models including prompt engineering and inference optimization.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployment.
• Experience with big data technologies including Spark, Hadoop, SQL, and NoSQL databases.
• Strong problem-solving skills to translate business needs into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is advantageous.

Pay Range and Compensation Package:

• The pay range for this position is $117,800.00 to $168,300.00 per year, with base pay varying based on geographic region, internal equity, knowledge, skills, and experience.

Benefits & Perks:

• Flexible vacation policy
• 401(k) employer match
• Comprehensive health benefits
• Educational assistance
• Leadership and technical development academies

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.