Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Irving, TX, United States
Posted
18 hours ago
DockerFastAPISQLGitAWSMLOpsMLflowSOC 2Scikit-learnDeep LearningGoogle CloudPyTorchPythonTensorFlowGenerative AIRESTAzureMachine LearningAgilePrompt EngineeringCI/CDXGBoostLangChainLangGraphRAG
Job Description
We are looking for AI/ML Engineer for our client in Irving, TX
Job Title: AI/ML Engineer
Job Location: Irving, TX
Job Type: Contract
Pay Range: $50.00hr - $55.00hr
Job Overview:
5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field.
Our client is looking for a Senior AI/ML Engineer with strong hands-on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI. The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.
Key Responsibilities:
- Design and develop end-to-end Machine Learning and Deep Learning solutions.
- Build and productionize ML models using appropriate algorithms and frameworks.
- Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.
- Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases.
- Design and implement Agentic AI solutions, including AI agents, tool calling, multi-agent workflows, and orchestration.
- Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources.
- Deploy scalable AI solutions on AWS, Azure, or Google Cloud Platform.
- Implement AI application monitoring, evaluation, observability, security, and responsible AI practices.
- Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions.
- Mentor junior engineers and contribute to AI architecture and technology strategy.
Core Technical Skills:
- Programming: Python, SQL.
- Machine Learning: Scikit-learn, XGBoost/LightGBM.
- Deep Learning: PyTorch / TensorFlow.
- GenAI: LLMs, Prompt Engineering, Embeddings, RAG.
- Agentic AI: LangGraph, LangChain or equivalent frameworks.
- Vector Search: OpenSearch, FAISS, Pinecone or equivalent.
- MLOps: MLflow, Docker, CI/CD, model deployment & monitoring.
- Cloud: AWS / Azure / Google Cloud Platform.
- APIs & Engineering: REST APIs, FastAPI, Git, containerization.
== ==
Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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