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Machine learning • usa

Last updated: 3 days ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
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

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

Ontrac SolutionsChicago, Illinois, United States
Full-time

This role is ideal for junior-to-mid-level engineers with strong.Google Cloud Platform experience.The selected engineers will work under the direct guidance of a.MLOps execution, pipeline maintenan... Show more

Machine Learning Engineer

Waypoint Human CapitalHuntsville, AL, USA
Full-time

Waypoint’s client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center.This role focuses on developing... Show more

Machine Learning Specialist

Applied PhysicsNew York, NY, US
Full-time
Quick Apply

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics.In this role, you will have the opp... Show more

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US
Full-time
Quick Apply

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi... Show more

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

OorwinDemo INDIACalifornia, PA, Mississippi, USA
Full-time +1

Job description<br /> Job Responsibilities :<br /> <br /> - Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge manag... Show more

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, Virginia, United States
Full-time

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis loc... Show more

Machine Learning Specialist

The University of ManchesterOxford Road
Temporary

The overall role of the job is to develop required advanced multispectral image processing and machine learning functions on a real-time embedded system for detecting cassava viral infection as ear... Show more

Machine Learning Engineer

Seven Seven SoftwaresOnshore, US, US
Full-time

The client is looking for Machine Learning Engineer to join a diverse team dedicated to providing best in class data services to their customers, stakeholders and partners.As a part of our their or... Show more

Machine Learning Engineer, Data & Machine Learning (DML)

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

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.The Amazon Web Services Professional Services (ProServe... Show more

Machine Learning Engineer

Q2Austin, TX
Full-time

As passionate about our people as we are about our mission.Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in ... Show more

Machine Learning Engineer

Johns Hopkins Applied Physics LaboratoryLaurel, Maryland, United States
Full-time +1

Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field?.Do you thrive in a collaborative... Show more

Machine Learning Engineer

Pelham Berkeley SearchJersey City, NJ, US
Permanent
Quick Apply

The Data Management Engineering team is embarking on a transformative journey to define, enable, and drive our data strategy.We aim to engage with partners across technology, data, business, and op... Show more

Machine Learning Engineer

Rebel Space TechnologiesLong Beach, Hybrid, California, USA
Permanent

Rebel Space Technologies is seeking a talented and experienced Machine Learning Engineer to join our team.At Rebel Space, our mission is to protect critical space infrastructure through enhanced ob... Show more

Machine Learning Engineer

BMW (US) Holding Corp.Mountain View, CA, US
Full-time

As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack.In order to continuously create ultimate driving machin... Show more

Machine Learning Engineer

Realtor.comAustin, TX
Full-time

Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.Building your career? Build it better at.Machine Learning Engineer at (View all jobs) (.A... Show more

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Machine Learning Engineer

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
30+ days ago
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.