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Machine learning Jobs in Washington, DC

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Machine learning • washington dc

Last updated: 4 days ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
$60.00–$65.00 hourly
Full-time
Quick Apply

We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role.You will architect and implement innovative ML solutions, working closely with dat... Show more

Machine Learning Engineer - Remote

YO AI LabsWashington, D.C., USA
Remote
Full-time
Quick Apply

AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more

Senior Machine Learning Engineer

AHU Technologies IncWashington, DC, US
$150,000.00 yearly
Full-time

US Citizens or Green Card Holders.Fluency in Chinese/Mandarin is required, so only reach out exclusively to candidates of Chinese ethnic background.Build recommendation and search across feed, disc... Show more

Director, Machine Learning Engineering

GEICOBethesda, MD, United States
$150,000.00–$300,000.00 yearly
Full-time

Director Runtime Intelligence & Personalization.We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function.This leader will own the visio... Show more

Director, Machine Learning Engineering (Enterprise Feature Platform) (Remote- Eligible)

Phenom PeopleMc Lean, VA, United States
Full-time +1

Director, Machine Learning Engineering (Enterprise Feature Platform).Locations: VA - McLean, United States of America, McLean, Virginia.As a Director of Enterprise Feature Platform at Capital One M... Show more

Senior Machine Learning Engineer

TheIncLabMcLean, VA, US
Full-time +1
Quick Apply

TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success.We are where innovation meets purpose... Show more

AI Machine Learning Developer Principal

SAICArlington, VA, US
$160,001.00–$200,000.00 yearly
Full-time

We are seeking to build a team of.Solutions and Technology Group, reporting to the Intel Space CTO.In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-... Show more

Data Engineer – Classical Statistics & Machine Learning

BLN24McLean, VA, US
Full-time
Quick Apply

Data Engineer Company: BLN24 About Us:  We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.Federal Governmen... Show more

MS, PhD, Research Scientist, Machine Learning, Atmospheric Science

DeVine Consulting, Inc.Silver Spring, MD, US
$120,000.00–$150,000.00 yearly
Full-time
Quick Apply

DeVine provides technical and scientific support to government clients in Oceanography & Atmospheric Science among other technical disciplines.Our company is looking for a  Research Scient... Show more

Delivery Consultant- AI/ML, Data & Machine Learning (DML)

Amazon Web Services, Inc.Arlington, Virginia, USA
Full-time

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS).Are you looking to work at the forefront o... Show more

Principal AI & Machine Learning Engineer - U.S. Based Hybrid Opportunity

Common AppArlington, VA, US
$144,160.00–$162,180.00 yearly
Full-time
Quick Apply

Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to ... Show more

Data Machine Learning Engineer

Tek Leaders IncMcLean, VA, Virginia, USA
Full-time

Aptos">Job Description:<br /> <b><u>Data Machine Learning Engineer</u></b></span></span></p> <p><span style="font-size:12pt&quo... Show more

Machine Learning Engineer - Remote

HalvikMcLean, VA, USA
$140,000.00–$150,000.00 yearly
Remote
Full-time
Quick Apply

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies.Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professional... Show more

Artificial Intelligence/Machine Learning (AI/ML) Engineer

AnalyticaBethesda, MD, US
Full-time
Quick Apply

Analytica is seeking a seasoned and adaptable  Artificial Intelligence/Machine Learning (AI/ML) Engineer  to join our infrastructure team in supporting an innovative federal mission.In th... Show more

Artificial Intelligence/Machine Learning Engineer

Solutions³ LLCArlington, VA, US
Full-time
Quick Apply

Applications Developer III Description:   Solutions³ LLC is supporting a U.Government customer to provide support for onsite incident response to civilian Government agencies and critical... Show more

Learning Specialist

SPAAlexandria, VA, US
$95,000.00 yearly
Full-time

Systems Planning and Analysis, Inc.SPA) delivers high-impact, technical solutions to complex national security issues.With over 50 years of business expertise and consistent growth, we are known fo... Show more

Learning Specialist

Systems Planning and Analysis, Inc. (SPA)Alexandria, VA, United States
$95,000.00 yearly
Full-time

Systems Planning and Analysis, Inc.SPA) delivers high-impact, technical solutions to complex national security issues.With over 50 years of business expertise and consistent growth, we are known fo... Show more

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Machine Learning Engineer

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
30+ days ago
Salary
$60.00–$65.00 hourly
Job type
  • Full-time
  • Quick Apply
Job description

Pay Rate: $60 - $65/Hour


Overview:


We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role. You will architect and implement innovative ML solutions, working closely with data scientists and engineers to put algorithms and models into practice to solve our customers' most challenging problems. You will take the lead in planning, designing, and running experiments, while researching new algorithms to deliver impactful solutions.


Key Responsibilities:

  • Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.
  • Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.
  • Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
  • Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.
  • Engage directly with customers to understand their business problems and help implement tailored ML solutions.
  • Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.
  • Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.
  • Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.
  • Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
  • Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.
  • Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
  • Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.


Preferred Qualifications:

  • Proven experience in building and deploying machine learning models at scale.
  • Proficiency with deep learning frameworks like PyTorch and TensorFlow.
  • Experience with cloud-native machine learning solutions, preferably on AWS.
  • Experience with Databricks
  • Experience with Agile Methodology
  • Strong understanding of MLOps workflows, including model management.
  • Ability to work independently and collaboratively with cross-functional teams.