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AI & Cloud Engineering

3 weeks, 1 day ago
Kenya, Pakistan, Philippines
Full-time
Mid Level
AI (Artificial Intelligence)
Software Development
AWS AWS CDK Bash CI/CD Docker Encryption Generative AI Git GitHub GPT HIPAA Hugging Face JavaScript Kubernetes LLM Machine Learning Microservices MLOps NLP Penetration Testing PostgreSQL Python SQL Terraform
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Remote Raven

Remote Raven

Remote Raven connects clients with highly qualified virtual assistants to quickly fill positions, enabling businesses to focus on core activities with no start-up fees.

Professional Services
11-50
View All Jobs 31

Description

  • Design, develop, and deploy AI and machine learning models to solve business problems and automate workflows.
  • Build and maintain end-to-end machine learning pipelines from data ingestion and preprocessing through training, evaluation, and production deployment.
  • Develop NLP, LLM, and generative AI solutions, including fine-tuning and optimizing pre-trained models for specific use cases.
  • Evaluate model performance, monitor for drift, and improve models based on real-world feedback.
  • Integrate AI models and APIs into existing applications, platforms, and workflows.
  • Design and implement RAG architectures and other AI-powered features such as chatbots, recommendation engines, document processing, and predictive analytics.
  • Write production-quality code, build APIs, microservices, and data pipelines, and apply software engineering best practices including testing and CI/CD.
  • Architect, deploy, and manage AI and data workloads on AWS, including cost and performance optimization.
  • Design AI systems and data pipelines in compliance with HIPAA and SOC 2 requirements, including safeguards for PHI, audit logging, and access controls.
  • Collaborate with engineering, product, operations, security, and compliance teams, and produce thorough technical documentation.

Requirements

  • 3 or more years of hands-on experience in AI, machine learning, or data science engineering roles.
  • Strong programming skills in Python, which is the primary development language for this role.
  • Demonstrated experience building and deploying ML models or AI-powered applications in production environments.
  • Proficiency with AWS cloud services relevant to AI/ML workloads, such as 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, including the ability to document technical work clearly.
  • This is a 100% remote, full-time role with a rate of $10/hr.
  • AWS certifications such as AWS Certified Machine Learning Specialty, AWS Solutions Architect, or AWS Security Specialty are preferred.
  • Experience with MLOps practices, including model versioning, monitoring, and automated retraining pipelines, is preferred.
  • Familiarity with vector databases such as Pinecone, Weaviate, or pgvector for RAG implementations is preferred.
  • Experience in a HIPAA-covered entity or business associate environment is preferred.
  • Background in healthcare technology, health informatics, or digital health platforms is preferred.
  • Experience with additional programming languages such as JavaScript, TypeScript, Go, or Java is preferred.
  • Familiarity with containerization and orchestration tools including Docker and Kubernetes is preferred.

Interested in this position?

Apply directly on the company website

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