Full-Stack AI/ML Engineer Contract to Hire (W2 ONLY, NO C-C)Irving, TX (Hybrid) Responsibilities- Design and build AI/ML solutions that automate, optimize, or enhance business workflows.
- Acquire and preprocess structured/unstructured data from diverse sources (APIs, databases, OCR pipelines, documents, etc.).
- Conduct Exploratory Data Analysis (EDA) and develop statistical and predictive models using Python and ML frameworks.
- Build and fine-tune Large Language Model (LLM) pipelines (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain).
- Implement retrieval-augmented generation (RAG) and document-intelligence systems.
- Develop and deploy production-grade APIs and microservices using FastAPI or similar, integrated with MLOps practices.
- Collaborate with data engineers to ensure efficient data pipelines and with software engineers to integrate models into products.
- Continuously monitor, retrain, and optimize deployed models.
- Research and prototype emerging AI methods multimodal models and AI agents.
- Document architecture, design choices, and experiment outcomes for transparency and reproducibility.
- Work as a core member of a cross-functional AI team, contributing to sprint planning, backlog grooming, daily stand-ups, and retrospectives under Scrum / Agile frameworks.
- Participate in peer code reviews, ensure clean coding practices, and contribute to shared libraries and internal AI frameworks.
Requirements
- 5+ years of hands-on experience in data science, ML engineering, or applied AI with production deployments.
- Strong proficiency in Python (Pandas, NumPy, Scikit, LangChain, and LangGraph, etc.) and SQL.
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Skilled in data acquisition, ETL pipelines, and feature engineering using APIs, cloud storage, or databases.
- Proficiency in FastAPI for serving models as microservices.
- Experience building and managing MLOps pipelines with tools like Docker, Kubernetes, and CI/CD.
- Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and their ML/AI services.
- Working knowledge of Large Language Models (LLMs) and Generative AI frameworks
- Strong understanding of EDA, model validation, and experiment tracking.
- Familiarity with vector databases for semantic retrieval or RAG pipelines.
- Comfortable working in Agile/Scrum teams participating in sprint planning, stand-ups, reviews, and retrospectives.
- Collaborative team player with excellent communication and documentation skills.
- Demonstrated ability to take AI/ML models from prototype to production and continuously improve them.
Estimated Min Rate: $49.00
Estimated Max Rate: $70.00
What s In It for You?We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh s extensive talent community that will provide you with access to Yoh s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit
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For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
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