Talent.com

Machine learning h1.location_city

[job_alerts.create_a_job]

Machine learning • usa

[last_updated.last_updated_variable_hours]

Machine Learning Engineer

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

Machine Learning Engineer

GivzeyUnited States
[job_card.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...[internal_linking.show_more]

Machine Learning Engineer

Signature ConsultantsUSA, Pennsylvania, PA OR Washington
[job_card.full_time]
[filters_job_card.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....[internal_linking.show_more]

Machine Learning Specialist

Applied PhysicsNew York, NY, US
[job_card.full_time]
[filters_job_card.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...[internal_linking.show_more]

Machine Learning Engineer

Match Point SolutionsMO, United States
[job_card.full_time]
[filters_job_card.quick_apply]

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US.We provide technology solutions to various clients like Uber, Robinhood, N...[internal_linking.show_more]

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US
[job_card.full_time]
[filters_job_card.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...[internal_linking.show_more]

Machine Learning Engineer

J5 ConsultingHerndon, US
[job_card.full_time]
[filters_job_card.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 ...[internal_linking.show_more]

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, VA, us
[job_card.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 ...[internal_linking.show_more]

Machine Learning

OorwinDemo INDIACalifornia, PA, Mississippi, USA
[job_card.full_time] +1

Job description Job Responsibilities : - Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.Underst...[internal_linking.show_more]

Machine Learning Engineer

Chabez TechPortland, Oregon, United States
[job_card.temporary]

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

Seven Seven SoftwaresNewark, NJ, US
[job_card.full_time]

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

Machine Learning Engineer, Data & Machine Learning (DML)

Amazon Web Services, Inc.Arlington, Virginia, USA
[job_card.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...[internal_linking.show_more]

 • [job_card.new]

Machine Learning Developer

SAICArlington, VA, US
[job_card.full_time]

SAIC is seeking a talented and experienced.This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.The ideal candidate will have a strong backgroun...[internal_linking.show_more]

Machine Learning Engineer

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

Machine Learning Engineer

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

Machine Learning Engineer

Tiger AnalyticsUnited States
[job_card.full_time]

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
[job_card.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...[internal_linking.show_more]

Machine Learning Engineer

Remote WorldRemote - Peru
[filters.remote]
[job_card.full_time]
[filters_job_card.quick_apply]

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]

 • [job_card.new]
Machine Learning Engineer

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [filters_job_card.quick_apply]
[job_card.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.