AI Developer
Caresource · Remote · remote · Posted 51d ago
Undisclosed1–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary:
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.
Essential Functions:
- 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
Education and Experience:
- 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
Competencies, Knowledge, and Skills:
- 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
Preferred Licensure and Certification:
- AI / Data Science certifications or credentials are preferred
Working Conditions:
- General office environment; may be required to sit or stand for extended periods of time
- Occasional travel may be required to meet with stakeholders and development teams
Organization Level Competencies
- Fostering a Collaborative Workplace Culture
- Cultivate Partnerships
- Develop Self and Others
- Drive Execution
- Influence Others
- Pursue Personal Excellence
- Understand the Business
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
DockerAgileAIOpscloud platformsai modelsamazon web servicesai technologiesdata preprocessingcopilotCloud InfrastructurecloudAlgorithmsArchitectureMicrosoft AzureData ScienceArtificial Intelligence
About CareSource
Caresource
Health Care
1001-5000
employees
1989
37 years old
Dayton, Ohio
United States
About
CareSource provides managed care services to Medicaid beneficiaries.
Industries
Health CareOtherSocial Impact
Employee ratings
2 reviews
4.9/ 5
Culture
4.9
Career growth
4.9
Work-life
4.8
Find them on