Note: The job is a remote job and is open to candidates in USA. CareSource is seeking an AI Developer to design, develop, and deploy intelligent solutions that address complex business challenges. The role focuses on generative AI architecture, machine learning model development, production integration, MLOps and AIOps, and collaboration with cross-functional teams to deliver high-quality 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
- * Knowledge of healthcare and managed care
- * Occasional travel may be required to meet with stakeholders and development teams
- * Master's degree is preferred
- * AI / Data Science certifications or credentials are preferred
Benefits
- You may qualify for a bonus tied to company and individual performance.
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