AI Specialist - Compliance Focused
R
Remote RavenHealthcare Technology
Kenya. Philippines. PakistanFull-TimeMiddle
Salary10 USD per hour
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Job Details
- Experience
- 3 or more years
- Required Skills
- AWSDockerPythonSQLBashGitJavascriptKubernetesNosqlGitHubAWS LambdaCloudFormationLangChain
Requirements
- 3 or more years of hands-on experience in AI, machine learning, or data science engineering roles
- Strong programming skills in Python
- Demonstrated experience building and deploying ML models or AI-powered applications in production environments
- Proficiency with AWS cloud services (SageMaker, Lambda, S3, EC2, Bedrock, or equivalent)
- Working knowledge of HIPAA requirements and experience building systems that handle PHI in compliance with applicable regulations
- Familiarity with SOC 2 compliance frameworks and the technical controls required to support certification
- Experience with LLMs, NLP, or generative AI frameworks such as LangChain, OpenAI API, Hugging Face, or similar
- Strong understanding of data security, encryption, access control, and audit logging best practices
- Excellent written and verbal communication skills
- AWS certifications (AWS Certified Machine Learning Specialty, AWS Solutions Architect, or AWS Security Specialty) (preferred)
- Experience with MLOps practices and tools (preferred)
- Familiarity with vector databases such as Pinecone, Weaviate, or pgvector for RAG implementations (preferred)
- Experience in a HIPAA-covered entity or business associate environment (preferred)
- Background in healthcare technology, health informatics, or digital health platforms (preferred)
- Experience with additional programming languages such as JavaScript, TypeScript, Go, or Java (preferred)
- Familiarity with containerization and orchestration tools including Docker and Kubernetes (preferred)
Responsibilities
- Design, develop, and deploy AI and machine learning models to solve business problems and automate workflows
- Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment
- Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions
- Integrate AI models and APIs into existing applications, platforms, and workflows
- Architect, deploy, and manage AI and data workloads on AWS cloud infrastructure
- Design and develop all AI systems and data pipelines in full compliance with HIPAA Privacy and Security Rules
- Build and maintain AI systems and cloud infrastructure in accordance with SOC 2 Trust Service Criteria
- Write clean, well-documented, production-quality code primarily in Python
- Design secure data architectures that protect sensitive information throughout the AI pipeline
- Work closely with engineering, product, operations, and compliance teams
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