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Contract Meta Machine Learning Jobs in Spring, TX

Biz2Credit Inc

Senior Litigation Counsel

Houston, TX · On-site

$180K - $200K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... The ideal candidate will manage a high-volume, fast-paced caseload involving breach of contract ...

Biz2Credit Inc

Senior Litigation Counsel

Houston, TX · Remote

$180K - $200K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... MCA & Contract Enforcement: Handle complex disputes arising from MCA agreements, commercial ...

Biz2Credit Inc

Senior Litigation Counsel

Houston, TX · On-site

$129K - $175K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... The ideal candidate will manage a high-volume, fast-paced caseload involving breach of contract ...

Deloitte

Senior Consultant - SAP BRIM CC

Houston, TX

$60.25 - $82.25/hr

... contracts, mapping tables, pricing logic, rating, discounting, allowance and recurring fee models ... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ...

Guidehouse

Associate Epidemiologist

Houston, TX · On-site

$53K - $88K/yr

Roles is contingent upon contract award. What You Will Need: * Must be a U.S. Citizen or Permanent ... Experience with machine learning, artificial intelligence, or natural language processing ...

Mwe

Senior Manager, AI & Analytics

Houston, TX · On-site

Identify opportunities to apply AI, machine learning, and intelligent automation across Contract-to-Cash, Invoice-to-Pay, and Plan-to-Report * Establish responsible AI governance including controls ...

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

Contract Meta Machine Learning information

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

As of Sep 1, 2026, the average hourly pay for contract meta machine learning in Spring, TX is $18.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $20.34 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 Spring, TX?

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

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

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

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

Cities near Spring, 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 Spring, 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,478 per year, or $19 per hour.

IT Enterprise Systems and Services Manager

Talos Energy

Houston, TX

Full-time

Re-posted 23 days ago

Job description

POSITION SUMMARY:

Reporting to the CIO and serving on the IT Leadership Team, the IT Enterprise Systems, Infrastructure and Service Desk Manager leads infrastructure, service desk, end-user support, audio-visual, cloud, data center and offshore IT operations. The role oversees managers and technical teams, Helpdesk delivery, secure and cost-effective technology operations across corporate and Gulf of America assets, the IT Change Approval Board, major IT budgets, vendor and contract decisions, and service improvement through ITSM, metrics, governance and customer focus.

DUTIES & RESPONSIBILITIES:

  • Leadership, governance and strategy: Lead enterprise systems, infrastructure and service desk teams; set strategy and foster accountability, safety, reliability and improvement.
  • Translate business needs into secure, scalable and cost-effective IT services.
  • Chair the IT Change Approval Board and oversee changes affecting availability, security, compliance and risk.
  • Maintain technology standards, governance, metrics, roadmaps and priorities with key stakeholders.
  • Enterprise infrastructure and operations: Direct networks, servers, storage, data centers, cloud, end-user, audio-visual and offshore IT.
  • Ensure secure, resilient and high-performing infrastructure across corporate, field and offshore operations.
  • Direct safe, reliable offshore IT support across Gulf of America assets.
  • Evaluate emerging technologies and recommend adoption that improves outcomes, security or reliability.
  • Service desk, incident and request management: Own Helpdesk intake, triage, routing, escalation, closure and customer communication.
  • Lead first-line support, ensuring coverage, quality, communication, knowledge sharing and escalation.
  • Manage incidents, requests and problems; drive root-cause analysis, corrective actions and knowledge updates.
  • Measure satisfaction, analyze feedback and improve the user experience.
  • Asset lifecycle and end-user technology: Manage endpoint, mobile and printer lifecycles from procurement through secure disposal.
  • Coordinate onboarding, offboarding, access, endpoint readiness and technology requests within control requirements.
  • Financial, vendor and performance management: Manage IT budgets, costs and contract negotiations.
  • Direct sourcing and strategic vendor relationships.
  • Report service volume, backlog, timeliness, SLA performance, satisfaction, risk, cost and improvements.
  • Update senior leaders on operations, projects, risks, decisions and mitigations.
  • People leadership and continuous improvement: Lead and develop IT managers and teams through coaching, knowledge sharing and accountability.
  • Execute a people plan for engagement, succession, coverage, role clarity and capability.
  • Advance ITSM, service integration, Agile and DevOps to improve quality, responsiveness and alignment.

EDUCATION & EXPERIENCE:

  • Bachelor’s or master’s in IT, computer science, information systems, business or related field, or equivalent experience.
  • 15+ years of progressive IT and industry experience.
  • 5–7+ years leading managers, technical or service teams.
  • Leadership of infrastructure, service desk, cloud, end-user, data center, security-aligned and vendor-supported operations.
  • ITSM and service desk experience with incidents, requests, problems, escalations, knowledge, SLAs, OLAs and reporting.
  • Proven leadership of transformation, modernization, service improvement or operating model change.
  • Management of budgets, vendors, sourcing, contracts and service performance.
  • Experience with cloud, cybersecurity, collaboration, endpoints, mobility, infrastructure and enterprise support technologies.
  • Working knowledge of AI, machine learning, analytics, IoT, automation, application development and DevOps.
  • Oil and gas, offshore or industrial experience preferred.

QUALIFICATIONS & COMPETENCIES:

  • Executive leadership to set direction, align teams and advance IT and business priorities.
  • Business acumen to demonstrate IT’s operational and strategic value.
  • Customer focus with clear expectations, updates and business translation of technical issues.
  • Ability to influence, negotiate and coordinate across stakeholders, teams and vendors.
  • Strong analysis, planning, execution and prioritization in high-volume operations.
  • Deep knowledge of infrastructure, ITSM, cloud, endpoints, collaboration, cybersecurity and emerging technologies.
  • Working knowledge of SOX, security controls, access, asset and compliance requirements.
  • Ability to implement governance and metrics for service performance, satisfaction and improvement.
  • Strong vendor management to strengthen capabilities and outcomes.
  • Strong troubleshooting, triage and escalation judgment across enterprise technologies.
  • Excellent communication and presentation skills for varied audiences.
  • High integrity, attention to detail and secure handling of access, assets and disruptions.

CERTIFICATES & LICENSES:

None required; relevant certifications such as ITIL Foundation, HDI Support Center Manager, PMP, Lean/Six Sigma or similar service management, project management or operational excellence certifications are a plus.

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