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Contract Meta Machine Learning Jobs in Frisco, TX

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Duration: Long-Term Contract Client: EmergerTech - USLBM Job Overview We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, Generative AI, and Large ...

IT America Inc

ML Engineer

Plano, TX · On-site

Plano, TX / Reston, VA (Hybrid) Duration: Long term contract Interview: Onsite Top Skills' Details: 1. Strong Python and AWS skills 2. Machine Learning, LLM, GenAi experience 3. Needs to be a hands ...

PROLIM Global Corporation

Sr. Data Scientist

Plano, TX · On-site

... Contract Programming: Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of ...

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration ... Build, train, validate, and deploy machine learning models for predictive analytics. * Design and ...

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

... Claude, Meta Llama, or similar. * Prompt Engineering: Expertise in designing, testing, and ... Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging ...

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration ... Build, train, validate, and deploy machine learning models for predictive analytics. * Design and ...

Genesis10

Application Architect

Plano, TX · On-site

$58.31 - $66.31/hr

This is a 12+ month contract opportunity. This role is responsible for training and maintaining machine learning models for a multi-channel Virtual Assistant. The ideal candidate will leverage ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Frisco, TX

Contract Meta Machine Learning information

See Frisco, TX salary details

$13

$19

$24

How much do contract meta machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for contract meta machine learning in Frisco, TX is $19.96, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $21.39 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Frisco, TX?

For Contract Meta Machine Learning jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Frisco, TX look for?

The top searched job categories for Contract Meta Machine Learning jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Contract Meta Machine Learning jobs?

Cities near Frisco, TX with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,521 per year, or $20 per hour.

Sr Lead Engineer - I_Azure

VeeRteq Solutions Inc.

Irving, TX • On-site

Contractor

Posted 11 days ago

Job description

Job Title:  Senior Azure AI Document Intelligence Engineer (OCR Experience)

Location: Irving, TX

We are seeking a Senior Azure AI Document Intelligence Engineer responsible for designing, training, and optimizing AI-powered contract and invoice OCR solutions using Azure AI Document Intelligence, Azure Databricks, Azure Machine Learning, MLflow, Azure AI Search, OpenAI/GenAI, Python, and SQL, driving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document classification, validation frameworks, and intelligent automation.

Roles and Responsibilities:

·       Analyse invoice and contract variations across suppliers, countries, languages, formats, and scan-quality levels. Define the document taxonomy and extraction schema for: Invoice headers Contract metadata Purchase-order references

·       Supplier and customer information Dates, currencies, taxes, discounts, and totals Payment terms, renewal dates, obligations, and termination clauses Tables and invoice line items

·       Evaluate Azure AI Document Intelligence prebuilt invoice, layout, custom neural, custom template, classification, and composed-model capabilities.

·       Build and train custom document classifiers and extraction models. Prepare, label, clean, balance, and version training and evaluation datasets.

·       Implement document preprocessing for rotation, skew, noise, resolution, page separation, and scan-quality issues.

·       Develop confidence-scoring and validation strategies using field-level and OCR-level confidence signals. Implement deterministic validation rules, including Subtotal, tax, and total reconciliation Currency and date validation Purchase-order and supplier matching Duplicate-document detection

·       Required-field and cross-field consistency checks Establish confidence thresholds and human-review rules for uncertain extractions. Perform error analysis by document type, supplier, field, language, and scan quality.

·       Create automated evaluation pipelines reporting exact-match accuracy, precision, recall, F1 score, false-positive rates, and false-negative rates.

·       Monitor model drift and retrain models when document formats or business requirements change. Document model versions, training data, experiments, limitations, and release decisions. Collaborate with supply-chain, procurement, accounts-payable, legal, and engineering teams.

Experience: - Min 10+ Years

Location: -

Irving, TX (Hybrid – 3 days’ Work from Office)

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

 

Skills: -

Mandatory skills

·       Min 4+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing. Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform.

·       Strong Python development skills. Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing. Experience training and evaluating document classification and field-extraction models. Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, and test-set design.

·       Experience extracting complex tables and variable-length line items. Experience creating labelled datasets and maintaining data-quality standards. Familiarity with invoices, purchase orders, contracts, or supply-chain documents.

·       Strong analytical, debugging, and technical-documentation skills. Preferred Qualifications Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI. Experience with multilingual documents.

·       Familiarity with contract clause extraction and legal-document processing. Knowledge of ERP or procurement systems such as SAP, Oracle, Dynamics 365, Coupa, or Ariba. Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows. Knowledge of data privacy and document-retention requirements.

·       Success Measures ≥99% exact-match accuracy for approved critical fields. ≥98% exact-match accuracy across all agreed fields. Accuracy maintained across suppliers, formats, and document-quality categories.

·       Measurable reduction in manual corrections and review time. Documented improvement process for fields that miss their thresholds. No production model deployed without passing the approved evaluation suite.

Skills

Azure (Bigdata Azure) Azure AI Document Intelligence, Azure Databricks, OpenAI, GenAI, Azure Machine Learning, MLflow, Azure AI Search SQL, Contract and Invoice OCR

VeeRteq Solutions is an Equal Opportunity Employer