ZipRecruiter

Log In

1

Ml Data Associate Jobs in Washington (NOW HIRING)

AIToolboard

Senior AI-ML Engineer

Suitland, MD · On-site

$170 - $230/hr

... data processing to drive intelligent outcomes.The ideal candidate brings hands-on experience with ... Associate (or equivalent) • AWS Certified Machine Learning • Security+Desired • Experience ...

Steampunk

Senior Data Scientist

Mclean, VA

$120K - $180K/yr

AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional. About steampunk Steampunk relies on several factors to determine salary ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional. About steampunk Steampunk relies on several factors to determine salary ...

Gartner

Director, Data Science

Arlington, VA · Remote

Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Gartner

Director, Data Science

Arlington, VA · On-site

Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Nestle

Expert Data Product - Data Lake

Arlington, VA · On-site

$140K - $200K/yr

Familiarity with AI/ML data pipelines and enabling data for advanced analytics is preferred Don't ... We consider our associates our most valuable assets. Please apply for full consideration. The ...

Steampunk

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional. Steampunk relies on several factors to determine salary, including but ...

Bart & Associates

AI-ML Developer

Ashburn, VA · On-site

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. * Develop, train, and deploy advanced AI/ML models, including generative AI techniques ...

Phase2 Technology

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

Build and evaluate AI / ML models using libraries such as TensorFlow, PyTorch, and Scikit‑learn ... Azure Data Scientist Associate, AWS Machine Learning Specialty, or TensorFlow Developer ...

previous page

Showing results 41-60

All JobsMl Data Associate JobsMl Data Associate Jobs in Washington

Ml Data Associate information

See Washington salary details

$65.1K

$77.1K

$146.1K

How much do ml data associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ml data associate in Washington is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
What are popular job titles related to Ml Data Associate jobs in Washington? For Ml Data Associate jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Ml Data Associate jobs in Washington look for? The top searched job categories for Ml Data Associate jobs in Washington are:
What cities in Washington are hiring for Ml Data Associate jobs? Cities in Washington with the most Ml Data Associate job openings:
Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,061 per year, or $37 per hour.

Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States)

International Consulting Associates, Inc.

Arlington, VA • On-site, Remote

$170K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

About ICA, Inc.
International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!
We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.
At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about - it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.
We are looking for a Principal AWS Data Platform & ML Ops Architectto join our growing team!
ABOUT THE ROLE:
We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.
Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.
KEY RESPONSIBILITIES:
Architect and Build the Shared Platform
  • Define the target AWS architecture for shared data, document-processing, search, analytics, and AI capabilities.
  • Design the canonical data model, ingestion and processing pipelines, storage patterns, APIs, event contracts, and serving layers.
  • Build a reusable platform serving multiple products and projects with critical shared capabilities and establish repeatable implementation patterns for engineering teams.
  • Develop an incremental migration and adoption strategy for bringing existing solutions onto the shared platform.
  • Identify duplicated pipelines, services, infrastructure, and technical patterns across projects.
  • Determine which capabilities should become shared platform services and which should remain project-specific.

Define the Data and MLOps Architecture
  • Design the AWS-based path from data science deliverables to production by establishing architecture for model packaging, deployment, serving, registry, monitoring, drift detection, and retraining workflows.
  • Define onboarding standards for new data products, models, search applications, and AI-enabled services.
  • Design platform capabilities supporting search indexes, embeddings, vector retrieval, RAG, and model evaluation.

Provide Technical Design Authority
  • Lead architecture and design reviews before significant development begins.
  • Establish reference architectures, approved patterns, architecture decision records, and engineering standards.
  • Require teams to use shared platform capabilities where appropriate and evaluate justified exceptions.
  • Ensure platform designs meet performance, scalability, reliability, security, auditability, disaster-recovery, and cost requirements.
  • Provide technical leadership and mentoring across data engineering, data science, software engineering, and platform teams.
  • Partner with product and engineering leaders on a cross-project platform roadmap.

REQUIRED QUALIFICATIONS:
  • Active AWS Certifications (Solutions Architect, Data Engineer or Machine Learning)
  • Extensive experience designing and building enterprise data platforms or AI/ML platforms on AWS.
  • Demonstrated experience creating shared platform capabilities adopted by multiple products, projects, or business units.
  • Experience consolidating separate production data systems through incremental migration and adoption.
  • Strong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch
  • Strong experience with data engineering, distributed systems, event-driven architecture, APIs, data modeling, metadata, lineage, governance, and access control.
  • Strong MLOps architecture experience, including model deployment, serving, registries, monitoring, drift detection, and retraining workflows.
  • Experience designing search, vector retrieval, embedding, or RAG data foundations.
  • Experience with infrastructure as code using AWS CDK, Terraform, or CloudFormation.
  • Experience with multi-account AWS environments, private networking, and AWS Well-Architected principles.
  • Ability and willingness to write production code and build initial critical platform components.
  • Experience influencing senior engineers and enforcing architecture decisions across teams without direct management authority.
  • Strong technical communication and decision-making skills.
  • Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
  • Must be able and willing to obtain a Public Trust Clearance

PREFERRED QUALIFICATIONS:
  • Experience with document intelligence, OCR, multimodal search, data lake or lakehouse platforms, or generative AI systems.
  • Experience with Amazon Textract, Amazon Bedrock, SageMaker, OpenSearch vector capabilities, or AWS Lake Formation.
  • Experience working with regulated, sensitive, or access-controlled data.
  • Familiarity with audit, data provenance, evidence retention, tenant isolation, and model-governance requirements.
  • Experience establishing shared platform practices in consulting, professional-services, or multi-client environments.
  • Experience with AWS Organizations, Control Tower, disaster recovery, and cloud cost optimization.

USE OF AI ASSITIVE TECHNOLOGY:
All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.
BENEFITS:
We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.
  • Health Insurance -100% employer-paid premiums - ICA covers the full cost of one of three offered medical plans
  • Dental Insurance
  • Vision insurance
  • Health Spending Account
  • Flexible Spending Account
  • Life and Disability insurance
  • 401(k) plan with company match
  • Paid Time Off (Vacation, Sick Leave and Holidays)
  • Education and Professional Development Assistance
  • Remote work from anywhere within the continental United States

LOCATION & TELEWORK
This is a remote position following Eastern Standard Time (EST). Candidates residing in the DMV area preferred.
ADDITIONAL INFORMATION:
ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Apply