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Contract Meta Machine Learning Jobs in Atlanta, GA

AI / ML Engineer

Sandy Springs, GA · On-site

$60 - $70/hr

Contract/Permanent Role Summary NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal ...

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100K - $131K/yr

Contract/W-2/Full Time * 5+ years of experience in cloud architecture (AWS / GCP / Azure) , with 4+ ... AWS Certified Machine Learning - Specialty, Google Cloud Professional ML Engineer, or security ...

Contract Experience: 12+ years in IT, 5+ years in AI/ML Solution Architecture Job Overview Key ... Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Agentic AI Frameworks, NLP, Computer ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Showing results 41-60

Contract Meta Machine Learning information

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

As of Sep 13, 2026, the average hourly pay for contract meta machine learning in Atlanta, GA is $20.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.97 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 the most commonly searched types of Meta Machine Learning jobs in Atlanta, GA?

The most popular types of Meta Machine Learning jobs in Atlanta, GA are:

What are popular job titles related to Contract Meta Machine Learning jobs in Atlanta, GA?

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

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

The top searched job categories for Contract Meta Machine Learning jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Contract Meta Machine Learning jobs?

Cities near Atlanta, GA with the most Contract Meta Machine Learning job openings:

Infographic showing various Contract Meta Machine Learning job openings in Atlanta, GA 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 $42,662 per year, or $20.5 per hour.

AI / ML Engineer

Sandy Springs, GA • On-site

NTT DATA Americas, Inc
IT Services • 10K+ employees

$60 - $70/hr

Other

Posted 19 days ago


Key responsibilities

  • Design, develop, train, and deploy Machine Learning models for enterprise use cases.

  • Develop data preprocessing, feature engineering, model training, and evaluation pipelines.

  • Build and integrate AI/ML services with enterprise applications using APIs and Microservices.


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Business Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
Design, develop, train, and deploy Machine Learning models for enterprise use cases.
Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
Develop automated ML pipelines for model training, testing, deployment, and monitoring.
Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
Work with structured and unstructured datasets from multiple sources.
Monitor production models and address model performance, drift, and data-quality issues.
Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications
5+ years of experience in Python development, Data Science, or Machine Learning engineering.
3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
3+ years of experience with data processing, feature engineering, SQL, and model development.
2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have
Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
Knowledge of RAG, embeddings, vector databases, and semantic search.
Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
Knowledge of MLOps tools and model lifecycle management.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
Understanding of responsible AI, model governance, security, and data privacy.
Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
Strong analytical, problem-solving, communication, and stakeholder management skills.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967