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Independent Contractor Aws Machine Learning Jobs in Lexington, SC

Pwc

AI Engineer

Columbia, SC · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

CTIO AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... conduct, and independence requirements. The Opportunity As part of the Data and Analytics ...

Pwc

AI & GenAI Data Scientist - Manager

Columbia, SC · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Armis Security

AI Solutions Consultant

North, SC · On-site

... evaluation - not machine learning engineers. You will be expected to train foundation models ... Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP ...

micro1 AI

AI Trainer - Microbiology Expert

Columbia, SC · Remote

$70 - $90/hr

Contractor Location: Remote micro1 is engaging Microbiologists to contribute their scientific ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Job Board

Senior Backend Engineer

North, SC

... using AWS serverless architectures (Lambda, API Gateway). * Engineer Data Pipelines: Design and maintain robust Machine Learning and Data Analytics pipelines, utilizing Apache Kafka or similar ...

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All JobsIndependent Contractor Aws Machine Learning JobsIndependent Contractor Aws Machine Learning Jobs in Lexington, SC

Independent Contractor Aws Machine Learning information

See Lexington, SC salary details

$337

$932

$1.8K

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

As of Sep 6, 2026, the average weekly pay for independent contractor aws machine learning in Lexington, SC is $932.42, according to ZipRecruiter salary data. Most workers in this role earn between $617.31 and $1,036.54 per week, depending on experience, location, and employer.

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.

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

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Independent Contractor Aws Machine Learning jobs near you
Infographic showing various Independent Contractor Aws Machine Learning job openings in Lexington, SC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $48,486 per year, or $23.3 per hour.

AI at Stride, Inc. Columbia, South Carolina

Stride

Columbia, SC • On-site

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

AI Architect

Job Description SUMMARY: The AI Architect is responsible for designing and delivering production-ready AI solutions across the organization. This individual will manage a small team of AI Engineers and occasionally flex roles from UX, front-end, and subject matter experts to create innovative solutions that leverage machine learning for enterprise-wide impact. The AI Architect will provide direct oversight of AI solution design, infrastructure, and deployment using standardized coding best practices. This position will mentor team members in technical development and ensure alignment with business objectives in the K12 and broader enterprise context. The AI Architect is deeply experienced, passionate about applied AI, comfortable building end-to-end ML pipelines in cloud environments, and able to set priorities and organize the collaborative work of a small technical team. They will drive the timely delivery of AI products directly linked to actionable business decisions. ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

Drives the conception, prototyping, and deployment of machine learning models-particularly in natural language processing (NLP) and recommender systems-across multiple product lines; Leverages AWS and Azure ecosystems, containerization, and infrastructure-as-code tools to create and maintain production-ready AI systems that can scale efficiently; Working from proof-of-concept through full productization, including data ingestion, model training, deployment, monitoring for performance drift, and iteration for continuous improvement; Informs, influences, and supports product decisions. Directly supervises 1-3 AI Engineers and occasional flex contributors on specific projects. Provides guidance on coding best practices, model development Works closely with Product, Engineering, IT Managers, Data Stewards, and high-level executives to align AI initiatives with organizational objectives. Ensures that AI solutions adhere to governance and compliance requirements, including student data privacy; Provides critical input and execution support, identifying practical opportunities for applied AI to drive business outcomes; Ensures that AI deliverables are well-documented, reproducible, and monitored for ongoing performance and data integrity. Partners with governance teams and legal to adapt to evolving data privacy regulations and responsible AI practices; Stays abreast of emerging trends and tools-such as large language models-and evaluates their applicability. Advocates for robust DevOps/MLOps, agile methodologies, and cross-functional collaboration to maximize the impact of AI deployments; Aligns K12's AI capabilities with the needs of our schools & school services teams that will drive the adoption and use of actionable data to deliver improved outcomes; Identifies and defines strategic opportunities for leveraging data science across other businesses and functions in support of K12's mission, vision and long-term strategy; Demonstrates a passion for education and the K12 experience, actively motivating and encouraging the same passion in employees.

Supervisory Responsibilities: Directly supervises 1 - 3 Full-time Equivalent (FTE) regular employees and/or contractors. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

MINIMUM REQUIRED QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Math, Physics, Engineering, or re
  • Six (6) years' related experience; OR
  • Equivalent combination of education and experience

Certificates and Licenses: None required. Certifications such as AWS Solutions Architect or Azure Solutions Architect are a plus but not mandatory.

OTHER REQUIRED QUALIFICATIONS:

  • Experience designing and deploying machine learning models-especially NLP and recommender systems-using Python and common ML libraries (e.g., Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environments.
  • High attention to detail and high level of accuracy.
  • Strong analytical skills.
  • Strong customer service orientation.
  • Professional integrity necessary to maintain confidentiality.
  • Strong planning skills and ability to manage multiple projects simultaneously.
  • Excellent verbal and written communication skills.
  • Ability to complete assigned duties within critical deadlines.
  • Ability to work independently and in a team environment.
  • Proficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook).
  • Proficiency with modern reporting platforms and tools.
  • Ability to grasp complex platform concepts and business models, in a digital context.
  • Ability to clear required background check

PREFERRED QUALIFICATIONS:

  • Experience with MLOps frameworks such as MLflow or Kubeflow.
  • Familiarity with K12 education data or prior EdTech experience.
  • Experience working in an environment that emphasizes responsible AI, ethical AI, or complex governance practices.

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • This is a home-based position

Compensation & Benefits: Stride, Inc. considers a person's education, experience, and qualifications, as well as the position's work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee's salary level. Salaries will differ based on these factors, the position's level and expected contribution, and the employee's benefits elections. Offers will typically be in the bottom half of the range. We anticipate the salary range to be $113,073.75to $200,000.. Eligible employees may receive a bonus. This salary is not guaranteed, as an individual's compensation can vary based on several factors. These factors include, but are not limited to, geographic location, experience, training, education, and local market conditions.Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.

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