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Machine learning engineer • usa

Last updated: 1 day 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

ProsumREMOTE PST, CA, US
Remote
Full-time
Quick Apply

We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance.This role focuses on ...Show more

Machine Learning Engineer

PitchBookSeattle, Washington, United States
Full-time

At PitchBook, a Morningstar company, we are always looking forward.We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone.We’re deeply collaborative and thrive o...Show more

Machine Learning Engineer

Ikigai LabsCambridge, MA, US
Full-time
Quick Apply

Company Description The Ikigai platform unlocks the power of generative AI for tabular data.We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI ...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

InsideHigherEdColumbus, Ohio, United States
Full-time

Screen reader users may encounter difficulty with this site.For assistance with applying, please contact.If you have questions while submitting an application, please review these.Current Employees...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 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 located...Show more

Machine Learning Engineer

WorkNovas LLCRichmond, VA, United States
Full-time
Quick Apply

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the Role We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, buil...Show more

Machine Learning Engineer

replicastudiosLas Angeles, California, United States
Full-time

At Replica we're building the world's leading AI Voice Platform for the next generation of games and movies.We're always on the lookout for great talent to join our team (remotely or at our office)...Show more

Machine Learning Engineer

V-Soft Consulting Group, Inc.TX, US
Full-time

Machine Learning Engineer (Onsite) Primary Location: Dallas, Texas V-Soft Consulting is currently hiring for a Machine Learning Engineer for our premier client in Dallas, Texas.Education and Experi...Show more

 • Promoted

Machine Learning Engineer

AMG & Associates, Inc.Lincoln, Nebraska, United States
Remote
Full-time
Quick Apply

We specialize in providing cutting-edge machine learning solutions to our clients in various industries.We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our...Show more

Machine Learning Engineer

Seven Seven SoftwaresOffshore
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

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

Intuitive SurgicalSunnyvale, CA, United States
Full-time

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at.Were a team of engineers, clini...Show more

Machine Learning Engineer

DEKA Research & DevelopmentManchester, NH, US
Full-time
Quick Apply

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning.If you want to design distributed systems, deploy production ML...Show more

Machine Learning Engineer

SynergisticITFargo, ND, US
Full-time

Launch Your Data Career with Proof, Not Promises—At SynergisticIT.If you're serious about starting a high-impact, high-paying career in.Data Science, Analytics, or Engineering.Our candidates have l...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.