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Machine learning • usa

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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

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

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 Specialist

Applied PhysicsNew York, NY, US
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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

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

OorwinDemo INDIACalifornia, PA, Mississippi, USA
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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

ProSidian Consulting, LLCAlexandria, Virginia, United States
[job_card.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...[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

Seven Seven SoftwaresNewark, NJ, US
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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
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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]

Machine Learning Engineer

replicastudiosLas Angeles, California, United States
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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)...[internal_linking.show_more]

Machine Learning Engineer

Signature ConsultantsUSA, Pennsylvania, Philadelphia
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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 Developer

SAICArlington, VA, US
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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

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

Flare energy servicesChicago, IL, USA
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We are currently seeking a highly skilled Machine Learning Engineer to join our team.As a Machine Learning Engineer, you will play a critical role in developing and implementing cutting-edge machin...[internal_linking.show_more]

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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

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

Rebel Space TechnologiesLong Beach, Hybrid, California, USA
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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...[internal_linking.show_more]

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Machine Learning Engineer

Machine Learning Engineer

ProsumREMOTE PST, CA, US
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Machine Learning Engineer
Pay Rate: $75–$89/hour

Position Summary
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 building scalable, production-ready AI/ML solutions and ensuring seamless integration within existing systems.

The ideal candidate will collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models that drive operational efficiency, innovation, and data-driven decision-making. This position requires strong experience in MLOps, DevOps practices, and cloud-based AI infrastructure.

Key Responsibilities
  • Design, build, deploy, and maintain machine learning models in production environments
  • Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and automation
  • Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP)
  • Build and optimize CI/CD pipelines for automated testing and deployment of ML models
  • Collaborate with data scientists, data engineers, and DevOps teams to operationalize AI solutions
  • Monitor model performance, system health, and data drift; implement logging and alerting solutions
  • Ensure reliability, scalability, and performance of ML systems in real-time inference environments
  • Maintain version control for models and code to support reproducibility and collaboration
  • Apply best practices for testing, debugging, and performance optimization
  • Ensure compliance with data security, privacy, and regulatory standards
  • Create and maintain technical documentation for ML systems and processes

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
  • 3+ years of experience in machine learning engineering or MLOps
  • Hands-on experience managing the end-to-end machine learning lifecycle
  • Strong programming skills in Python, R, and/or SQL
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with containerization (Docker) and orchestration tools (Kubernetes)
  • Experience with infrastructure as code tools such as Terraform
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions)
  • Strong understanding of software development, system architecture, and deployment processes
  • Experience with monitoring, logging, and performance tuning of ML systems
  • Knowledge of version control systems (e.g., Git)

Preferred Qualifications
  • Master’s degree in Computer Science, Engineering, or a related field
  • Experience working with healthcare data or regulated environments
  • Familiarity with Electronic Health Record (EHR) systems
  • Experience with predictive modeling, natural language processing (NLP), and large language models (LLMs)
  • Knowledge of retrieval-augmented generation (RAG) frameworks and their applications
  • Understanding of agile methodologies and DevOps lifecycle practices

Core Competencies
  • Production-grade ML model deployment and lifecycle management
  • Scalable infrastructure design for AI/ML workloads
  • Cross-functional collaboration and technical leadership
  • Strong analytical and problem-solving skills
  • Effective technical communication and documentation