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Temporary Meta Machine Learning Jobs in North Carolina

CYNET SYSTEMS

AWS Generative AI Engineer

Charlotte, NC · On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AWS certifications such as AWS Certified, AWS Certified Machine Learning Engineer, or AWS AI ... Familiarity with other LLM providers such as OpenAI, Meta, Llama, Mistral, or Cohere. Skills:

UNC-Chapel Hill

BDC Post-Doc Research Associate

Chapel Hill, NC · On-site

$37K - $51K/yr

  • Medical

  • Vision

  • PTO

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... machine learning-based workflows within the platform. The role may also involve advancing ...

Truist

Decision Science Lead

Charlotte, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Regular or Temporary: Regular Language Fluency: English (Required) English Work Shift: 1st shift ... machine learning, and AI-driven insights. The successful candidate will lead analytical initiatives ...

Truist

Decision Science Lead

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Regular or Temporary: Regular Language Fluency: English (Required) English Work Shift: 1st shift ... machine learning, and AI-driven insights. The successful candidate will lead analytical initiatives ...

UNC-Chapel Hill

BDC Post-Doc Research Associate

Chapel Hill, NC · On-site

$37K - $51K/yr

  • Medical

  • Vision

  • PTO

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... machine learning-based workflows within the platform. The role may also involve advancing ...

Truist

Decision Science Lead

Raleigh, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Regular or Temporary: Regular Language Fluency: English (Required) English Work Shift: 1st shift ... machine learning, and AI-driven insights. The successful candidate will lead analytical initiatives ...

Peter Millar

NC · On-site

$96K - $127K/yr

... OpenAI, Anthropic, Meta, open and frontier models), prompt configuration, evaluation, and ... Bachelor's or Master's in Computer Science, Machine Learning, or a related field; relevant Azure AI ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Vision

  • PTO

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... Experience with quantum defects and/or machine learning methods like machine learning interatomic ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Vision

  • PTO

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... Experience with quantum defects and/or machine learning methods like machine learning interatomic ...

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All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in North Carolina

Temporary Meta Machine Learning information

What is a temporary Meta machine learning job?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

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

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

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

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the most commonly searched types of Meta Machine Learning jobs in North Carolina?

The most popular types of Meta Machine Learning jobs in North Carolina are:

What are popular job titles related to Temporary Meta Machine Learning jobs in North Carolina?

For Temporary Meta Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Temporary Meta Machine Learning jobs in North Carolina look for?

The top searched job categories for Temporary Meta Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Temporary Meta Machine Learning jobs?

Cities in North Carolina with the most Temporary Meta Machine Learning job openings:

Temporary Meta Machine Learning jobs near you

AWS Generative AI Engineer

CYNET SYSTEMS

Charlotte, NC • On-site

$45 - $50/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

Job Overview:

Pay Range $45hr - $50hr

Requirement/Must Have:

  • Strong experience with AWS Cloud Services.
  • Hands-on experience with Amazon Bedrock, AWS Lambda, API Gateway, Amazon S3, Amazon DynamoDB, Amazon OpenSearch, ECS, EKS, CloudWatch, and IAM.
  • Strong experience with Amazon Bedrock and Anthropic Claude models.
  • Solid understanding of Large Language Models (LLMs), prompt engineering, RAG architecture, vector databases, AI agents and agentic workflows, finetuning and model evaluation, responsible AI, and AI governance.
  • Proficiency in Python.
  • Experience with LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, and SDK integrations.
  • Experience integrating structured and unstructured data sources.
  • Knowledge of embeddings, semantic search, knowledge bases, and document ingestion pipelines.

Responsibilities:

  • Design, develop, and deploy Generative AI solutions leveraging Amazon Bedrock, Anthropic Claude, and other foundation models.
  • Build and optimize RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
  • Develop AI-powered applications such as chatbots, virtual assistants, document processing, content generation, and intelligent search solutions.
  • Create and optimize prompts, workflows, and model configurations to improve response quality, accuracy, and performance.
  • Integrate Bedrock foundation models with enterprise applications, APIs, and AWS services.
  • Implement scalable and secure cloud-native solutions using AWS services such as Lambda, API Gateway, ECS, EKS, S3, DynamoDB, and OpenSearch.
  • Finetune model outputs through prompt engineering, guardrails, and evaluation frameworks.
  • Collaborate with data engineers, architects, product owners, and business stakeholders to identify GenAI use cases and deliver solutions.
  • Monitor model performance, costs, latency, and security compliance.
  • Ensure adherence to responsible AI practices, governance, and security standards.
  • Stay updated with emerging trends in Generative AI, LLMs, and AWS AI/ML services.

Nice to Have:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • AWS certifications such as AWS Certified, AWS Certified Machine Learning Engineer, or AWS AI Practitioner.
  • Experience with MLOps, CI/CD, and infrastructure-as-code tools like Terraform and CloudFormation.
  • Familiarity with other LLM providers such as OpenAI, Meta, Llama, Mistral, or Cohere.

Skills:

  • Solution Design and Architecture.
  • Generative AI and LLM Expertise.
  • Cloud-Native Development.
  • Problem Solving and Analytical Thinking.
  • Stakeholder Management.
  • Innovation Mindset.
  • Agile Delivery.
  • Communication and Collaboration Skills.

Education and Experience:

  • 5+ years of overall software/cloud development experience.
  • 2+ years of hands-on experience in Generative AI and LLM-based solution development.
  • Proven experience delivering enterprise-scale AI solutions on AWS.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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