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Independent Contractor Aws Machine Learning Jobs

Nanite Inc.

Machine Learning Engineer

Boston, MA

... and AWS. * Familiarity with ML workflow best practices. * Interest in applications of machine ... learning in biotechnology * Strong communication skills, both written and verbal * Experience doing ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

... and AWS. * Familiarity with ML workflow best practices. * Interest in applications of machine ... learning in biotechnology * Strong communication skills, both written and verbal * Experience doing ...

CGI Inc.

Senior AWS Cloud Engineer

Lafayette, LA · On-site

$53.25 - $71.25/hr

... contractor Agile delivery environments. CGI Federal's benefits are offered to eligible ... AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

AWS MLOps (SageMaker, Lambda, Step Functions, S3) * Python * CI/CD Pipelines for Machine Learning Systems * Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Working alongside applied scientists and engineering teams, you will design scalable machine learning pipelines, fine-tune Vision-Language Models (VLMs), build AWS-based training infrastructure, and ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

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All JobsIndependent Contractor Aws Machine Learning Jobs

Independent Contractor Aws Machine Learning information

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$394

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$2.1K

How much do independent contractor aws machine learning jobs pay per week?

As of Jul 17, 2026, the average weekly pay for independent contractor aws machine learning in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Independent Contractor AWS Machine Learning Specialist, and why are they important?

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 does an Independent Contractor specializing in 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 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 some 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.
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Independent Contractor Aws Machine Learning jobs near you
Infographic showing various Independent Contractor Aws Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.
AI Developer Natural Language Processing Machine Learning AWS

AI Developer Natural Language Processing Machine Learning AWS

Accord Technologies Inc.

New York, NY • On-site

Contractor

Posted 11 days ago

Job description

AI Developer – Natural Language Processing,  Machine Learning & AWS 
Loction: New York, NY  (Need Onsite day 1, hybrid 3 days from office).
Duraiton: Long term
Position type: W2 contract

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage. 

Responsibilities:

  • Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities
  • Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
  • Collaborate with data scientists and engineers to integrate AI models into production environments.
  • Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
  • Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
  • Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
  • Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices.

Requirements:

  • Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
  • Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
  • Proven experience managing and operating MCP or similar machine learning platforms.
  • Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
  • Knowledge of traditional machine learning models applied on structured big data is a plus.
  • Prior experience in equities or financial data analysis is highly preferred.
  • Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 
Preferred,
  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.