CareSource is looking to solve complex business challenges through innovative AI technologies
Requirements
- Knowledge of model interpretability and ethical AI practices
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
- Strong understanding of data structures, algorithms, and software engineering principles
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools
- Experience with Agile methodologies
- Knowledge of healthcare and managed care
- AI / Data Science certifications or credentials are preferred
Responsibilities
- Design and implement AI models and algorithms tailored to diverse business challenges
- Define and lead the architecture of Generative AI platforms, including large language models (LLMs), vector databases, and inference pipelines
- Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit
- Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas
- Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes
- Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management
- Apply AIOps practices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights
Other
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required
- Master’s degree is preferred
- Minimum of five (5) years of experience in developing and deploying AI/ML models is required
- Strong communication and collaboration abilities
- Occasional travel may be required to meet with stakeholders and development teams
