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Machine learning engineer • usa

Last updated: 1 hour ago

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

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

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

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

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

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

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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

Match Point SolutionsSan Diego, CA, United States
Full-time
Quick Apply

About MatchPoint Solutions MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber, Robinhood...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

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

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

SynergisticITDenver, CO, US
Full-time

Ready to Stand Out and Get Noticed by Top Tech Employers?.At SynergisticIT, we don't just build skills—we build success stories.Since 2010, we've helped thousands of job seekers land full-time role...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

ProsumREMOTE PST, CA, US
30+ days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description
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