AI Developer

CareSource • OH

136d • $92,300 - $161,600

About The Position

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions. This role is focused on solving complex business challenges through innovative AI technologies and will collaborate closely with cross-functional teams to ensure timely and high-quality delivery of solutions aligned with defined objectives.

Requirements

• 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
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is required
• Experience with Agile methodologies is required

Nice To Haves

• 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
• Knowledge of healthcare and managed care

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

Benefits

• Comprehensive total rewards package
• Bonus tied to company and individual performance

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees