AI Implementation Engineer
RIT Solutions, Inc.
Job Title: AI Implementation Engineer
Location: Memphis, TN (Preferred) or Remote
Duration: 18 Months + Extensions (Long-term contract.)
Start Date: ASAP
Number of Openings: 1
Top Skills in order of preference.
- AI Solution Design and Implementation
- Machine Learning and Data Science Expertise
- AI Architecture and Pipeline Planning
ESSENTIAL JOB FUNCTIONS
- Collaboration: Work with AI architect, infrastructure, and other engineers to develop and deploy AI models based on jointly created designs.
- Operations: Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, unbiased output.
- Support: Provide SME-level support, documentation, and guidance for implemented AI processes.
- Governance and Improvement: Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.
- Data Preparation: Design and implement processes to improve data quality, synthesize data, produce training sets, and generally prepare data for AI usage.
REQUIREMENTS
- Qualifications: Experience: Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer-facing implementation of data orchestration and AI technologies. o Proficiency in programming languages (Python, Java), familiarity with related AI/ML frameworks (ex. LangChain, TensorFlow, PyTorch).
- Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG))
- Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred)
- Strong development practices including source control, testing methodologies, and, preferably, DevOps or CI/CD processes and tooling or Familiarity with vector databases, search indexes, and embeddings
- Experience with application and API development practices is a plus
- Education: Bachelor's degree in Computer Science, Engineering, or a related field.
- Certifications: Relevant certifications in AI, data engineering, or cloud computing are a plus.
Vacancy posted 2 days ago
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