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Machine learning engineer • usa

Last updated: 1 hour 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

Signature ConsultantsUSA, Pennsylvania, PA OR Washington
Full-time
Quick Apply

DIRECT IN-PERSON INTERVIEW REQUIRED!.Philadelphia, PA OR Washington, DC (100% Onsite).Design and validate ML models that support engineering tooling teams.Enhance existing AIML automation tools (e....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

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

Intelliswift Software IncCA - South San Francisco
Full-time

Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.Work closely with Client and dat...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

 • Promoted

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

ProSidian Consulting, LLCAlexandria, VA, us
Full-time

ProSidian Seeks a Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] for Program Support on a Exempt W2: No Overtime Pay Basis located in ...Show more

Machine Learning Engineer

Seven Seven SoftwaresNewark, NJ, US
Full-time

Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.Design and implement Mach...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

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

 • New!

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

AmbarellaBeavercreek, United States
Full-time

Beavercreek, OH or Remote/Hybrid].A Subsidiary of Ambarella, Corporation.Oculii is developing cutting-edge high-resolution imaging radar technology that powers the future of autonomous vehicles, dr...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

Fitmatch AISan Jose, CA, US
Full-time

We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative technology team.The ideal candidate will have a strong foundation in machine learning, spatial statist...Show more

Machine Learning Engineer

Motion RecruitmentBoston, MA, United States
Full-time

Our client, a major insurance and financial services institution, is seeking a Machine Learning Engineer to support the development and delivery of data-driven solutions across key initiatives.The ...Show more

Machine Learning Engineer

INSPYR SolutionsAustin, TX
Full-time

ABOUT THIS FEATURED OPPORTUNITY.The Machine Learning Engineer will join the Channel Strategy and Operations team to design and build advanced AI systems that combine software engineering, predictiv...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

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.