HYR Global Source Inc · 16 hours ago
AI/ML Engineer
Charlotte, NC
Full-time
Hybrid
Senior Level
6+ years expHYR Global Source Inc is seeking an AI/ML Engineer to join their team. The role involves implementing agentic frameworks, developing LLM-based applications, and deploying models using AWS tools while collaborating with business stakeholders to align solutions with objectives.
Cloud ComputingConsultingMobile AppsSoftware
Hiring Manager
smriti singh
Responsibilities
Implement agentic frameworks (e.g., LangGraph, AutoGen) and Model Context Protocol (MCP) for secure tool orchestration
Build LLM-based applications with RAG, structured output, and evaluation frameworks
Deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring
Integrate Okta/JWT token for API and service authentication; enforce token validation and claims
Deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan)
Design, develop, and optimize complex data pipelines using machine learning engineering best practices to ensure scalability, efficiency, and reliability
Develop and implement robust MLOps pipeline to support the deployment, monitoring, and lifecycle management of AI/ML models in production environments
Integrate and maintain data and model pipelines, proactively diagnosing data quality issues and documenting assumptions
Collaborate closely with data scientists to validate model-ready datasets and ensure thorough, accurate feature documentation
Conduct exploratory data analysis and discovery on raw data sources, incorporating business context to support model development
Track data lineage and perform root cause analysis during early-stage exploration or issue resolution
Partner with internal stakeholders to understand business processes and translate them into scalable analytical solutions
Develop and maintain model monitoring scripts, investigate alerts, and coordinate timely resolutions
Act as a subject matter expert in machine learning engineering on cross-functional teams, contributing to high-impact initiatives
Stay current with advancements in AI/ML and evaluate their applicability to business challenges
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
6+ years of experience across Artificial Intelligence (AI) / Machine Learning (ML) engineering, data engineering, and MLOps implementation, including: Designing and deploying production-grade ML systems, Building scalable data pipelines and ML workflows, Managing model lifecycle in cloud environments
Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
Strong understanding and experience in AWS Machine Learning Stack including: AWS SageMaker, AWS Glue, AWS Bedrock, AWS Data Pipelines, AWS Lambda Functions
Experience with Generative AI model development building LLM based applications with RAG
Experience implementing agentic frameworks (e.g., LangGraph, AutoGen) and Model Context Protocol (MCP) for orchestration
Knowledge of React UI, GraphDB, and GenAI model performance evaluation
Experience with CI/CD, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes)
Solid grasp of software engineering principles including testing, version control (e.g., Git), and security
Familiarity with the Machine Learning Development Lifecycle (MDLC) and best practices for reproducibility and scalability
Strong communication and collaboration skills, with experience working across technical and business teams
Ability to anticipate ambiguity and devise scalable solutions to address it
Company
HYR Global Source Inc
Established in 2013. At HYR Global Source Inc., we are your trusted technology partner, driving innovation through cutting-edge solutions.
51-200 employees
H1B Sponsorship
HYR Global Source Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (27)
2023 (44)
2022 (46)
2021 (33)
2020 (69)
Funding
Current Stage
Growth StageCompany data provided by crunchbase