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Independent Contractor Aws Machine Learning Jobs in Georgia

innovitusa

Machine Learning Engineer

Atlanta, GA

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize ... AWS SageMaker or Azure ML * MLflow * Docker and Kubernetes * MLOps * Experience with AI/ML ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to ... Cloud compute (AWS or Azure) and GPU-based training * Coursework or research projects in numerical ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

Cox Automotive

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training ...

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Independent Contractor Aws Machine Learning information

What does an independent contractor AWS machine learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

What skills and qualifications are needed to thrive as an independent contractor AWS machine learning?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What are common challenges faced by independent contractors working on AWS machine learning projects, and how can they be managed?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.

What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations in tech, finance, healthcare, and research sectors

While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.

What are the most commonly searched types of Aws Machine Learning jobs in Georgia?

The most popular types of Aws Machine Learning jobs in Georgia are:

What are popular job titles related to Independent Contractor Aws Machine Learning jobs in Georgia?

For Independent Contractor Aws Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Independent Contractor Aws Machine Learning jobs in Georgia look for?

The top searched job categories for Independent Contractor Aws Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Independent Contractor Aws Machine Learning jobs?

Cities in Georgia with the most Independent Contractor Aws Machine Learning job openings:

Independent Contractor Aws Machine Learning jobs near you
Infographic showing various Independent Contractor Aws Machine Learning job openings in Georgia 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.

Machine Learning Engineer

innovitusa

Atlanta, GA

Contractor

Posted 7 days ago

Job description

Hiring: W2 Candidates Only

Job Description:
We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python, machine learning frameworks, data processing, and cloud-based ML platforms.

Required Skills:

  • 5+ years of Machine Learning experience
  • Python
  • Scikit-learn
  • TensorFlow or PyTorch
  • Machine Learning algorithms
  • Pandas and NumPy
  • SQL
  • Model development and evaluation
  • Data preprocessing
  • Model deployment

Preferred Skills:

  • Generative AI
  • Large Language Models (LLMs)
  • NLP
  • Hugging Face
  • AWS SageMaker or Azure ML
  • MLflow
  • Docker and Kubernetes
  • MLOps
  • Experience with AI/ML production environments

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