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Machine learning engineer Jobs in USA

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Machine learning engineer • usa

Last updated: 15 hours ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
$60.00 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

ShipwellREMOTE US, US
$163,000.00 yearly
Remote
Full-time
Quick Apply

Machine Learning Engineer   About Shipwell At Shipwell, we empower supply chain efficiency and service effectiveness at scale.The Shipwell platform includes capabilities previously out of most... Show more

Machine Learning Engineer

Colgate-Palmolive CompanyNew York, NY, US
Full-time

No Relocation Assistance Offered.Job Number #174332 - New York, New York, United States.Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing ... Show more

Machine Learning Engineer

Escalon Services, LLC.Santa Monica, California, US
$100,000.00 yearly
Full-time
Quick Apply

Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing.Their products support mission-critical ap... Show more

Machine Learning Engineer

EBSCO Industries IncMA, US
Full-time

Headquartered in Birmingham, Alabama, Moultrie (.We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them.Moultrie i... Show more

Machine Learning Engineer

GivzeyUnited States
Full-time

We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions.In this role, you'll have the opportunity to shape and create our ma... Show more

Machine Learning Engineer

Akaasa TechnologiesUnited States
Full-time
Quick Apply

Location: Remote but MUSt be located in (CA, WA, NY, VA, NJ)</p> <p><br /> Will have 1 round interview.Must have confidence to explain their work.Pyspark, big query, SQL, Can cod... Show more

Machine Learning Engineer

Weekday IncNew York, NY, us
$150,000.00 yearly
Full-time

This role is for one of our clients.We are seeking a talented and motivated Machine Learning Engineer to join our growing engineering team in New York City.In this role, you will develop, deploy, a... Show more

Machine Learning Engineer

Sperry Rail, Inc.Shelton, Connecticut, United States, 06484
Full-time
Quick Apply

Sperry Rail is on a mission-critical journey to revolutionize the Rail Flaw Detection industry.Through the continuous development of cutting-edge diagnostic technologies and AI-assisted analysis, w... Show more

 • New!

Machine Learning Engineer

J5 ConsultingHerndon, US
Full-time
Quick Apply

J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities.Our services improve Information System networking ... Show more

Machine Learning Engineer

MolexAustin, US
$170,000.00–$250,000.00 yearly
Full-time

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters.They will be pre-... Show more

Machine Learning Engineer

ExaCare IncNew York, New York, United States, 10018
Full-time
Quick Apply

AI operating system for post-acute care.Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with... Show more

Machine Learning Engineer

Tiger Analytics Inc.Plano, TX, US
Full-time
Quick Apply

Tiger Analytics is looking for experienced.Gen AI experience to join our fast-growing advanced analytics consulting firm.Our employees bring deep expertise in Machine Learning, Data Science, and AI... Show more

Machine Learning Engineer

Nyla Technology SolutionsArlington County, VA, US
Full-time

Job Description</h3><br /><p><strong>*AWAITING FINAL AWARD*</strong></p><p><br /></p><p>At Nyla, we are proud to deliver solutions that m... Show more

Machine Learning Engineer

TeleWorld SolutionsPlano, TX, US
Full-time

Overview TeleWorld Solutions is seeking a Machine Learning Engineer for our team! As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers... Show more

 • Promoted

Machine Learning Engineer

UnissantAshburn, VA, USA
$112,000.00 yearly
Full-time
Quick Apply

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients.Working collaboratively, we advance missions and careers through a focus on hones... Show more

Machine Learning Engineer

Theory AIWashington, DC, US
Full-time
Quick Apply

Benefits Fully paid medical, dental and vision 401(k) with employer contribution Unlimited paid time off with a four-week minimum $3,000 a year for conferences, courses and certifications Home offi... Show more

 • New!

Machine Learning Engineer

MatrixSpaceBurlington, MA, US
Full-time

Help us bridge machine learning research and real-world deployment! MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them.... 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 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.