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Machine learning engineer • usa

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Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
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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...[internal_linking.show_more]

Machine Learning Engineer

Colgate-Palmolive CompanyNew York, NY, US
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No Relocation Assistance Offered.Job Number #171680 - New York, New York, United States.Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing ...[internal_linking.show_more]

Machine Learning Engineer

ProsumREMOTE PST, CA, US
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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 ...[internal_linking.show_more]

Machine Learning Engineer

GivzeyUnited States
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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...[internal_linking.show_more]

Machine Learning Engineer

Ikigai LabsCambridge, MA, US
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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 ...[internal_linking.show_more]

Machine Learning Engineer

J5 ConsultingHerndon, US
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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 ...[internal_linking.show_more]

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US
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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...[internal_linking.show_more]

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, Virginia, United States
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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...[internal_linking.show_more]

Machine Learning Engineer

Seven Seven SoftwaresOnshore, US, US
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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...[internal_linking.show_more]

Machine Learning Engineer

Chabez TechPortland, Oregon, United States
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Job Title: Machine Learning Engineer.Location: Portland, OR - Onsite (Local only / F2F interview).Experience Level: 5+ years of experience.Bachelor’s or master’s degree in computer science, Machine...[internal_linking.show_more]

Machine Learning Engineer

PayPalScottsdale, Arizona, United States of America
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Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.Anomaly Detection: Develop and refine algorithms for dete...[internal_linking.show_more]

Machine Learning Engineer

Johns Hopkins Applied Physics LaboratoryLaurel, Maryland, United States
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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...[internal_linking.show_more]

Machine Learning Engineer

Pelham Berkeley SearchJersey City, NJ, US
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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...[internal_linking.show_more]

Machine Learning Engineer

Motion RecruitmentBoston, MA, United States
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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 ...[internal_linking.show_more]

Machine Learning Engineer

Tiger AnalyticsUnited States
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Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm.Our employees bring deep expertise in Machine Learning, Data Scienc...[internal_linking.show_more]

Machine Learning Engineer

Intuitive SurgicalSunnyvale, CA, United States
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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...[internal_linking.show_more]

Machine Learning Engineer

DEKA Research & DevelopmentManchester, NH, US
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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...[internal_linking.show_more]

Machine Learning Engineer

Remote WorldRemote - Peru
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Remote World was founded in 2023 with a simple belief: the future of work is remote, and everyone should have access to quality remote opportunities regardless of their location.We noticed that whi...[internal_linking.show_more]

Machine Learning Engineer

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
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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.