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Contract Meta Machine Learning Jobs in Atlanta, GA

Cloud Data Vision LLC

AI Architect

Atlanta, GA · On-site

... Contract Experience: 12+ Years Job Summary We are seeking an experienced AI Architect to design and lead the implementation of enterprise-grade Artificial Intelligence and Machine Learning solutions.

New

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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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:

Contract Meta Machine Learning jobs near you
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.

Strategic Accout Manager - Analytics

Atlanta, GA • On-site

LinkTag
See more jobs at LinkTagexternal

Full-time

Re-posted 14 days ago

Job description

Company Description

You will be joining an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. Our platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better. 

Our advisory board consists of industry luminaries from companies such as Google, Hortonworks, Oracle, Cloudera, EMC, Facebook and Booz Allen Hamilton. Headquartered in Redwood City, California, the company is privately held. Our customers include companies like GE, Cisco, Jaguar, Orange and similar Fortune 500 companies. We are on a mission to revolutionize the Industrial Analytics world. 

We believe that revolution can be brought only by challenging the convention on all fronts and be on constant pursuit of easier, faster and better ways of doing things. This is the guiding principle in everything that we do. If you have the passion for data and a burning desire to create something revolutionary and invent the future, enjoy working in an environment that kindles challenging-the-convention and unbridled creativity, thrive on solving complex problems and love the fast paced daily action of a startup world, you are one of us and we look forward to working with you.

Job Description

RESPONSIBILITIES:

      Deliver predictive analytics solutions to customers using the platform.

      Understand business problems, define success criteria, map business problems into solution sets, manage deployment / data integration / solution creation, presentation of results, integration to end systems, delivery and training.

      Manage project schedules, tracking and customer communication.

      Identify newer use-case opportunities within existing customers and help sales team grow the accounts.

      Manage a team of data scientists, data architects and platform engineers require to deliver the solution and provide them with the business context for analysis and lead the data analysis process to deliver the business value for the customer

.      Coordinate and collaborate with cross-functional teams including product management, customer support & operations, sales, marketing and management.

      Be a thought leader and evangelist; and collaborate with marketing to promote in creative ways in online and offline channels. Deliver customer testimonials.

      Develop showcases, present in Webinars and Tradeshows to demonstrate predictive analytics for IIoT use cases.

Qualifications

   5+ years of predictive analysis solution experience - including 2+ years of experience in handling multiple customers directly and delivering analytics solutions.

      Domain experience in industrial analytics for any of the following verticals: Manufacturing, Automotive, Oil & Gas, Power / Energy, Transportation, Aviation or Telecom

.      Experience with dealing with Sensor or Machine Data (M2M) or Vehicle Data (V2V).

      Hadoop/Spark experience is a big plus.

      Advanced Visualization experience is a big plus

      Ability to learn complex businesses very quickly, define problems accurately with attention to details and ability to translate requirements to analysis approaches.

      Possess strong analytical/logical thinking skills, structured analysis process and clarity of thought.      Excellent presentation as well as verbal communication skills.

      Strong organizational, multi-tasking and time management skills.

      Must have a strong desire to aggressively learn and seek out new relevant technologies.

      Entrepreneurial and Agile - understands the demands of a private, high growth company.      Ability to be both a leader and hands on "doer".      Doctorate / Masters / Bachelors degree in Computer Science / Engineering / Statistics / Mathematics / Economics / Business or equivalent.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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