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Contract Meta Machine Learning Jobs in Georgia (NOW HIRING)

Meta

GA

$143K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

This contract position has potential to transition into a full-time role in the future based on performance and business needs. Key Responsibilities: Feature Development and Delivery: * Design ...

CRH

Source to Contract Analyst

Atlanta, GA · On-site

$66K - $80K/yr

This role also supports contract management best practices and is responsible for managing sourcing ... Experience leveraging artificial intelligence (AI) or machine learning-enabled tools to optimize ...

CRH

Source to Contract Analyst

Atlanta, GA · On-site

$67K - $81K/yr

Source to Contract Analyst CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525171 ... Experience leveraging artificial intelligence (AI) or machine learning-enabled tools to optimize ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and ... We are looking for candidates with strong Python-based data science and machine learning experience ...

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Contract Meta Machine Learning information

What are the key skills and qualifications needed to thrive as a Contract Meta Machine Learning Engineer, and why are they important?

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 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 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 are Contract Meta Machine Learning professionals?

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 most commonly searched types of Meta Machine Learning jobs in Georgia? The most popular types of Meta Machine Learning jobs in Georgia are:
What are popular job titles related to Contract Meta Machine Learning jobs in Georgia? For Contract Meta Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Georgia look for? The top searched job categories for Contract Meta Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Contract Meta Machine Learning jobs? Cities in Georgia 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 Georgia as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 18% Part Time, 1% Temporary, and 15% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
Critical Operations Manager

Critical Operations Manager

Meta

GA

$143K/yr

Full-time

Re-posted 3 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies

Job description

Meta is seeking a Critical Operations Manager to join our Data Center Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Operations Manager (COM) is responsible for the safe and effective operations, maintenance, and modernization of a ~30-70 MW data center. This person must be familiar with equipment utilized in critical environments, maintain a focus on continuous improvement as well as operational rigor, and experience managing a team.
Critical Operations Manager Responsibilities:
  • Develop and execute tactical and strategic plans to safely and effectively operate, maintain, and modernize physical infrastructure
  • Manage a team of Lead Building Engineers, Critical Facility Engineers, and Facility Project Manager through effective leadership, coaching, and performance management
  • Review and approve procedures based on internal standards and industry best practices
  • Investigate incidents, conduct root cause analysis, and implement corrective actions to improve operations
  • Collaborate with peer Critical Operations Managers to ensure consistency in strategy, approach, and delivery of critical operations
  • Maintain partnerships with technical and support teams to achieve maximum uptime and ensure seamless operations
  • Support the environmental, health and safety (EHS) program and ensure adherence to Meta Safety Policies and Procedures
  • Routinely inspect buildings, grounds, and critical equipment to identify potential issues and implement corrective actions
  • Ensure compliance with work management processes, including CMMS and EAM, and industry standards
  • Develop and maintain a comprehensive incident response program, including emergency operating procedures and business continuity plans
  • Support construction project execution (new & retrofit) in the data center, ensuring adherence to construction processes while supporting the critical operations environment
  • Occasional travel as required (<10%), with more travel possible during onboarding

Minimum Qualifications:
  • 8+ years of experience in critical facilities operations
  • 3+ years of experience in team management
  • Proficient with maintenance management programs
  • Regularly walk on flat and uneven terrain
  • Work at varying heights and from ladders
  • Lift and/or move 45 pounds or more regularly
  • Use hands and fingers for various tasks, including reaching/pushing/pulling with hands/arms/shoulders, stooping, kneeling, crouching, and crawling

Preferred Qualifications:
  • Equipment field service engineering experience
  • Trade Certification or state license in Mechanical (HVAC)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 7+ years of experience in a data center or other critical environment
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$143,000/year to $198,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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