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Remote Aws Machine Learning Jobs in Ashburn, VA (NOW HIRING)

Thomson Reuters

Machine Learning Engineer

Mclean, VA · On-site +1

About the Role As a Machine Learning Engineer, you will be responsible for selecting, developing ... alignment with AWS and broader data engineering practices. • Research and experiment with ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Experience training and serving models in cloud environments (AWS, Azure, GCP) * Proficiency with ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration ...

Comcast

Engineer 3, Machine Learning-5125

Washington, DC · On-site +1

$126K - $165K/yr

... for the remote option.) Job Summary DUTIES: Contribute to a team responsible for building ... AWS, and Istio; translate and optimize Machine Learning models, and report on Machine Learning ...

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Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

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

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are the most commonly searched types of Aws Machine Learning jobs in Ashburn, VA?

The most popular types of Aws Machine Learning jobs in Ashburn, VA are:

What are popular job titles related to Remote Aws Machine Learning jobs in Ashburn, VA?

For Remote Aws Machine Learning jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in Ashburn, VA look for?

The top searched job categories for Remote Aws Machine Learning jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Remote Aws Machine Learning jobs?

Cities near Ashburn, VA with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

Solutions Architect (AWS AI/ML, Data & Cloud Modernization)

RevStar

Arlington, VA • Remote

$66.25 - $87/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

  • Reports To: Sales Lead / CE
  • Location: Remote (US-Based / Eastern or Central Time Zone Preferred)
  • Employment Type: Full-Time W2

Are you an expert AWS architect who loves running pre-sales discovery, designing cutting-edge GenAI/data platforms, and scoping cloud migrations—without the burden of carrying a sales quota? RevStar is an AI-first innovation shop and AWS Advanced Tier Partner building transformative cloud solutions for enterprise clients. We are seeking a customer-focused Solutions Architect to serve as our primary technical authority during the pre-sales lifecycle. Partnering directly with Account Executives and AWS field teams, you will validate use cases, architect Bedrock/SageMaker pipelines, build migration strategies, and calculate AWS cost models to accelerate deal velocity. Above all, the ideal candidate embodies RevStar’s core values:

Self-Mastery: We hold a high bar for how we think, communicate, and improve.

Ownership: We own outcomes, not just effort.

Shared Destiny: We rise or fall together.

Your Impact Pillars

Your technical leadership is organized into four core strategic pillars:

1. Pre-Sales Discovery & Customer Engagement

  • Lead technical discovery sessions to uncover customer requirements, existing infrastructure constraints, and modernization goals.
  • Serve as the trusted technical authority in client meetings, articulating architectural tradeoffs across AWS GenAI, data, and cloud migrations.
  • Partner with Account Executives on AWS co-sell motions to validate technical fit, scope use cases, and build client trust.

2. Modern Architecture & Migration Strategy

  • Design Well-Architected AWS reference diagrams covering GenAI (Bedrock, SageMaker, RAG, agentic workflows) and modern data platforms.
  • Define cloud migration and database modernization strategies (RDS, Aurora, DynamoDB) using rehost, replatform, or refactor frameworks.
  • Evaluate implementation risks, application sequencing, and security/compliance standards (HIPAA, SOC2).

3. SOW Development & AWS Pricing

  • Build accurate AWS cost estimates utilizing the AWS Pricing Calculator to highlight optimization opportunities early.
  • Draft technical scopes, implementation timelines, and delivery assumptions for Statements of Work (SOWs) and client proposals.
  • Provide technical inputs required for AWS funding programs (PoCs, MAP credits) alongside Account Executives.

4. Handoff & Delivery Alignment

  • Collaborate with internal engineering teams prior to deal close to ensure solution feasibility and delivery alignment.
  • Conduct seamless technical handoffs to delivery teams with fully documented architectures, migration assumptions, and risk logs.

Requirements

What You Bring
    • Experience: 5+ years in a Solutions Architect, Pre-Sales Consultant, or Cloud Architect role within a consulting environment.
    • AWS Mastery: Deep expertise across AWS services, specifically AI/ML (Bedrock, SageMaker), data platforms (Redshift, Glue), and migration services.
    • Presales Capabilities: Proven ability to build SOWs, calculate AWS pricing models, and communicate complex architectural tradeoffs to executive stakeholders.
    • Certifications (Preferred): Active AWS Certified Solutions Architect (Professional) or AWS Machine Learning Specialty.

Benefits

Benefits for Full-Time W2 Positions:

    • Paid Time Off – Take the time you need to recharge and stay productive.
    • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
    • Comprehensive Health Coverage – Medical, Dental, Vision
    • 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
    • Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
    • Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
    • Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
    • Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
    • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at hr@revstarconsulting.com.