[Remote] REMOTE - AI Developer (HealthCare Experience) - R10487
Note: The job is a remote job and is open to candidates in USA. CareSource is a healthcare company seeking an AI Developer who will play a key role in designing, developing, and deploying intelligent solutions. The role involves collaborating with cross-functional teams to solve complex business challenges using innovative AI technologies and ensuring timely delivery of solutions.
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
- Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset
- Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity
- Apply creative problem-solving techniques to identify and implement process improvements
- Assess technical risks and develop effective mitigation strategies to ensure successful project delivery
- Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems
- Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support
- Perform data preprocessing and analysis on large datasets to uncover actionable insights
- Train, validate, and fine-tune machine learning and deep learning models for optimal performance
- 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
- Continuously monitor model performance and retrain as needed to maintain accuracy and relevance
- Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals
- Document workflows, models, and codebases to support maintainability and knowledge sharing
- Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions
- Perform any other job duties as requested
Skills
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required
- Minimum of five (5) years of experience in developing and deploying AI/ML models is required
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is required
- Experience with Agile methodologies is required
- Knowledge of model interpretability and ethical AI practices
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
- Strong analytical, evaluative and problem-solving abilities
- Strong understanding of data structures, algorithms, and software engineering principles
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration abilities
- Master's degree is preferred
- AI / Data Science certifications or credentials are preferred
- Knowledge of healthcare and managed care
Benefits
- In addition to base compensation, you may qualify for a bonus tied to company and individual performance.
- We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.
Company Overview
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