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Aws Machine Learning Jobs in Chantilly, VA (NOW HIRING)

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Experience training and serving models in cloud environments (AWS, Azure, GCP) * Proficiency with ... Strong fundamentals in machine learning including model architecture design, training strategies ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Chantilly, VA

Aws Machine Learning information

See Chantilly, VA salary details

$10

$71

$98

How much do aws machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for aws machine learning in Chantilly, VA is $71.73, according to ZipRecruiter salary data. Most workers in this role earn between $63.75 and $83.65 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

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

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

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

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

Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Chantilly, VA as of August 2026, with employment types broken down into 69% Full Time, 8% Part Time, and 23% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $149,193 per year, or $71.7 per hour.

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

RevStar

Arlington, VA • Remote

$66.25 - $87/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

  • Reports To: Sales Lead / CEO
  • 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.