AI Developer

CareSource; United States; Sur place; USD 94 000 - 165 000; Plein temps

Résumé du poste

CareSource is seeking an AI Developer to design and deploy intelligent solutions that address complex healthcare challenges. You will lead the architecture of Generative AI platforms, including LLMs, vector databases, and pipelines, while staying current with AI trends and implementing robust MLOps practices.

The role requires 5+ years of AI/ML experience, proficiency in Python and major ML libraries, and hands-on cloud/MLOps expertise.

Qualifications

• Required: bachelor’s degree in CS/DS/AI or related field; master’s preferred.
• Minimum 5 years developing and deploying AI/ML models.
• Experience with AWS, Azure, GCP and MLOps tooling.

Responsabilités

• Design and deploy AI models and algorithms for diverse business challenges.
• Lead architecture of Generative AI platforms, LLMs, vector DBs and inference pipelines.
• Prototype proof-of-concept solutions and drive production-ready AI systems.
• Collaborate with data scientists, engineers and product teams to integrate AI.
• Implement and manage MLOps pipelines for training, deployment and monitoring.

Connaissances

Python

Agile methodologies

Cloud platforms (AWS/Azure/GCP)

Formation

Bachelor's degree in Computer Science / Data Science / AI or related field

Master's degree preferred

Outils

TensorFlow

PyTorch

Scikit-learn

OpenCV

Description du poste

Job Summary:

The AI Developerplays 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 manageMLOpspipelines to automate model training, deployment, monitoring, and lifecycle management
• ApplyAIOpspractices 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

Salary

$94,100.00 - $164,800.00 CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. 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.

Organization Level Competencies

• Fostering a Collaborative Workplace Culture
• Cultivate Partnerships
• Develop Self and Others
• Drive Execution
• Influence Others
• Pursue Personal Excellence
• Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.