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Independent Contractor Aws Machine Learning Jobs in Florida

Deloitte

Forward Deployed Engineer- AWS

Miami, FL

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

Deloitte

Forward Deployed Engineer- AWS

Tampa, FL

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering

Deloitte

Cyber - AWS Cloud Security - Manager

Tampa, FL

$104K - $141K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ... Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Deloitte

Cyber - AWS Cloud Security - Manager

Miami, FL

$106K - $143K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ... Ability to work independently and collaborate as part of a team * Effective written and verbal ...

SOSi

Data Science Lead

Doral, FL · On-site

The contractor shall oversee the development, deployment, and evaluation of predictive and ... Desirable but not required certifications include AWS Certified Machine Learning - Specialty ...

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Independent Contractor Aws Machine Learning information

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 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 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 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

Machine Learning (ML) Engineer

Command Holdings

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

WWC Global, an operating firm of Command Holdings, is seeking a Machine Learning (ML) Engineer to serve on a potential contract supporting USSOCOM's mission to transform the SOF Enterprise into a decisive data-centric organization by applying scientific methods, algorithms, processes, and systems to extract actionable insights and knowledge from both structured and unstructured data, enabling the full spectrum of analysis, including descriptive, diagnostic, predictive, and prescriptive analytics.
Responsibilities may include, but are not limited to:
  • Designing, developing, deploying, and maintaining machine learning models and AI-enabled systems that support SOF Enterprise data analysis, operational planning, and decision advantage.
  • Developing AI/ML algorithms and models including those designed for Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and decision-making that learn from data to identify patterns and improve performance over time.
  • Building and managing end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
  • Conducting AI/ML modeling and simulation efforts to create models that analyze data, recognize patterns, and make predictions, and using those models to simulate real-world scenarios to test various outcomes without real-world risk.
  • Implementing MLOps practices to ensure scalable, repeatable, and auditable model development and deployment workflows.
  • Conducting suitability and feasibility assessments to confirm AI/ML is the appropriate tool for a given task and establishing clear requirements and fully specified tasks prior to development.
  • Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data governance requirements defined by Federal, DoW, and SOCOM policies.
  • Designing and testing analytics and AI-enabled solutions side-by-side with SOF stakeholders and demonstrating capabilities via robust campaigns of learning.
  • Identifying and mitigating operational environment constraints, such as limited bandwidth at the tactical edge and contested environments early in the development process.
  • Supporting the establishment of clear pathways to adopt capabilities deemed successful after rigorous testing to ensure sustainment and wide-scale adoption.
  • Utilizing appropriate code share repositories (e.g., GitHub) for all development activities.

This position is contingent on contract award.
Work Environment:
  • Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
  • Ability to sit at a computer terminal for an extended period of time.

Physical Demands:
  • While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
  • Employee is often required to sit and use their hands and fingers to operate a computer.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:
  • 0-10% / Minimal travel.

WWC Global, an operating firm of Command Holdings, is a tribally-owned firm providing management consulting services to U.S. government agencies.
Pursuant to PL 93-638, as amended, preference will be given to qualified Native Americans and spouses in all phases of employment.
At WWC Global, our employees are the embodiment of our success as a firm. Our team is comprised of a tenacious group of professionals located across the globe. It includes military veterans and spouses of active duty troops, former federal employees, policy experts, academics, attorneys, and technical and business experts, all of whom share a strong work ethic and the skills to succeed in both collaborative and independent environments. WWC Global is invested in the long-term success of both our clients and colleagues for the right reasons. Our dedication to putting good government into practice is underpinned by a merit-based culture that measures success by productivity and credibility.
WWC Global will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to the Human Resources Team.
WWC Global is committed to equal employment opportunity based on merit. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law, and in accordance with EO 14173 and Federal Employment Laws: Equal Employment Opportunity and Employee Polygraph Protection Act.
WWC Global's Affirmative Action Program is available to any employee or applicant for employment for inspection upon request, to the extent required by federal regulations. The Affirmative Action Program can be accessed during normal business hours by making an appointment with the Human Resources Team.
Basic Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical field.
  • Minimum of five (5) years of experience in machine learning engineering, data science, or a related technical discipline, including hands-on experience designing, training, deploying, and monitoring ML models in cloud or hybrid production environments.
  • Current, active TS/SCI security clearance.
  • Outstanding communication skills, influencing abilities, and client focus.
  • Professional proficiency in English is required.
  • Demonstrated proficiency in using all Microsoft Office applications.
  • Ability to access federal facilities in compliance with Real ID. More information about Real ID can be found here: https://www.dhs.gov/real-id/about-real-id and at https://www.tsa.gov/travel/security-screening/identification.
  • Applicants must be currently authorized to work in the United States on a full-time basis. WWC Global will not sponsor applicants for work visas for this position.

Preferred Requirements
  • Master's degree or PhD in Machine Learning, Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
  • Experience working in DoD or Intelligence Community environments.
  • Experience developing and deploying AI/ML capabilities in support of SOF or other warfighting organizations.
  • Experience with LLM/RAG development and GenAI operationalization in classified or restricted environments.
  • Experience conducting AI/ML experimentation and multi-lateral exercises to validate model performance against high-impact use cases.
  • Experience with low-bandwidth and Disconnected, Intermittent, and Limited (DIL) environment constraints.
  • One or more of the following: Databricks Certified Machine Learning Professional, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or equivalent AI/ML platform certification.

Benefits
WWC Global offers a competitive benefits plan including:
  • Health, Dental, and Vision Insurance
  • Flexible Spending Accounts
  • Life and Disability Insurance
  • 401(k)
  • Paid Time Off
  • Paid Holidays
  • Employee Assistance Program
  • Pet Insurance

*Eligibility requirements apply
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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