MLOps Engineer jobs

Hybrid in Dallas, Texas

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24d ago

CLIENT : PNC LOCATION: Pittsburgh, PA, Cleveland, OH, Dallas, TX, Birmingham, AL or Phoenix, AZ,). Its hybrid and 3 days onsite Technical Skills: o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management. o Cloud Knowledge: A deep understanding of cloud computing concepts, especially related to Amazon Web Services (AWS). o Infrastructure Design: Ability to design and implement MLOPs cloud solutions, considering scalability, security

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Full-time

$60 - $70

MLOps Engineer

Hybrid in Atlanta, Georgia

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6d ago

Role : MLOps Engineer Alpharetta GA (or) Berkeley Heights NJ days onsite - 3 -5 days Must Have Skills Skill 1 End-to-End ML lifecycle management (Azure ML, Databricks, MLflow) Skill 2 Monitoring production model serving & data pipelines (Docker, AKS/Kubernetes, Databricks/Spark, Feature Stores) Skill 3 MLOps CI/CD and observability (Azure DevOps/GitLab/Harness) Skill 4 Monitoring & drift detection (Splunk, Azure Monitor, Dynatrace, Prometheus) Good To Have Skills Skill 1 Autoscaling and API ga

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Contract

Depends on Experience

Senior MLOps Engineer

Hybrid in Chantilly, Virginia

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Today

Job Number: R0227821 MLOps Engineer, Senior The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you could find a position that is tailor made for your mix of development, engineering, and analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That's why we need you,

Full-time

USD 99,000.00 - 225,000.00 per year

Senior MLOps Engineer

Washington, District of Columbia

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Today

A client based in Arlington, VA is seeking a Senior MLOps Engineer to join their team in a contract-to-hire capacity, hybrid role, requiring 2-3 days per week in the office. The primary focus of this role is to build and optimize infrastructure for deploying, packaging, observing, and retraining machine learning models. This is not a model development role, but one centered on operationalizing existing models. The company specializes in providing transparent, customized financing solutions to sm

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Full-time

75/hr - 100/hr

MLops Engineer

Alpharetta, Georgia

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10d ago

Greetings from WB Solutions! We have the Urgent requirement for MLops Engineer at Alpharetta, GA or Berkeley Heights NJ - Long-Term Contract. Role: MLops Engineer Location: Alpharetta, GA or Berkeley Heights NJMust Have Skills 1 End-to-End ML lifecycle management (Azure ML, Databricks, MLflow)2 Monitoring production model serving & data pipelines (Docker, AKS/Kubernetes, Databricks/Spark, Feature Stores)3 MLOps CI/CD and observability (Azure DevOps/GitLab/Harness)4 Monitoring & drift detection (

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Contract, Third Party

Depends on Experience

MLOps Engineer

Hybrid in Jersey City, New Jersey

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17d ago

Duration: 920 Hours Location: Charlotte, NC or Jersey City, NJ (3 days a week onsite) -- Resource will choose which site HYBRID Schedule Must have skills: LLM and Kubernetes Project Tasks: AI Operations Platform Consultant Experience deploying, managing, operating, and troubleshooting containerized services at scale on Kubernetes for mission-critical applications (OpenShift) Experience with deploying, configuring, and tuning LLMs using TensorRT-LLM and Triton Inference server. Managing MLOp

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Contract

Depends on Experience

MLOps Engineer

Hybrid in Charlotte, North Carolina

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17d ago

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Contract

Depends on Experience

Senior MLOps Engineer / MLFlow / DVC

Chicago, Illinois

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Today

A leading growth and venture investment firm with over $25B under management is hiring a Software Engineer, Machine Learning Operations (MLOps) to help shape the next generation of its proprietary data and analytics platform. This firm invests in category-defining companies - from AI and aerospace to advanced manufacturing and health - and differentiates itself by building technology internally that fuels smarter, faster investment decisions. Their engineering and data science teams work side-by

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Full-time

140k - 200k

Principal Engineer MLOps (DLP Detection)

Santa Clara, California

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Today

Company Description Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaborati

Full-time

USD 157,200.00 - 254,100.00 per year

MLOPS Engineer

Remote or Salt Lake City, Utah

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Today

MLOPS Engineer Salt Lake City, UT or Remote Contract-to-Hire: $50-$60 per hour / $100-120k annual A client of ours is in search of a MLOPS Engineer to join their growing team. You will be responsible for deploying, monitoring, and maintaining machine learning models in software development pipeline environments. MLOps Engineers also ensure that models are operationalized effectively and remain stable over time. This role involves collaboration with data scientists, software engineers, and othe

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Full-time

Compensation information provided in the description

MLOps Engineer

Dallas, Texas

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6d ago

Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions including HIP One, CompliancePro Solutions, and Patient Engagement Solutions empower organizations to scale innovation and transform outcomes. Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers,

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Contract

Depends on Experience

MlOps/ Data Engineer

Cupertino, California

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Today

Data Engineer: Expected skills: Python, Golang/Rust (nice to have) Data Engineering tools: pyiceberg, daft to name a few. The candidate should be familiar with data engineering supporting and building systems at PetaByte scale. Cloud technologies - AWS, Google Cloud Platform - strong foundations expected. Databases: PostgreSQL, Time series DB to name a few Strong background and fundamentals on open data formats such as Parquet and Iceberg. Job Type & Location This is a Contract position based ou

Full-time

USD 60.00 - 65.00 per hour

Software Engineer / MLOps / Hybrid in Chicago

Chicago, Illinois

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Today

A venture-backed firm is hiring a Software Engineer to support its internal machine learning team. The team builds infrastructure and data platforms used to drive investment decisions across high-growth, deep tech companies. This is a full-time role focused on MLOps, data engineering, and platform development. You will be part of a small and highly technical team. The work will focus on building and scaling infrastructure that enables real-time insights. Projects include managing Kubernetes clus

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Full-time

0.00k - 0.00k

Senior Platform Engineer / MLOps / DevOps / Chicago

Chicago, Illinois

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Today

We're supporting a firm known for investing in industry game changers. They are not a startup but are intentionally lean. They look for entrepreneurial-minded engineers who can build from 0-1. They're looking for an Engineer to join their ML team as a core infrastructure builder. You'll own the platform that supports their MLOps, setting up Kubernetes clusters, building Spark infrastructure from scratch, and designing reliable systems that serve models in production. Applicants must currently be

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Full-time

150k - 250k

MLops Engineer, Location: Sunnyvale, CA(Onsite with hybrid), Duration: 12+ Months contract

Hybrid in Sunnyvale, California

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16d ago

Hi, Please find the role below and let us know your interest. Role: MLops Engineer Location: Sunnyvale, CA(Onsite with hybrid) Experience: 9+ Years Duration: 12+ Months contract Job Description: We are seeking a skilled Machine Learning Engineer with strong MLOps capabilities to help design, build, and scale machine learning systems from development through production. This role focuses on operationalizing models, building reliable infrastructure, and supporting data scientists in deploying

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Contract

Depends on Experience

MLOPS Engineer

Remote

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12d ago

Experience working on production-grade ML/AI projects. Experience can be on Azure Cloud or AWS Cloud, but Azure is preferred. Deploy models into production environments using MLOPS best practices

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Full-time

Depends on Experience

Senior MLOps / ML Infrastructure Engineer

Herndon, Virginia

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7d ago

Job Summary (Senior MLOps / ML Infrastructure Engineer) - Design, build, and maintain scalable ML infrastructure and automated machine learning (ML) pipelines, with a strong focus on PySpark and Databricks. - Develop and implement Point-in-Time (PIT) feature engineering pipelines and feedback loops for continuous model improvement. - Manage end-to-end model monitoring systems to detect data drift, model drift, and data quality issues. - Oversee the full ML model lifecycle using MLflow (inc

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Contract

$65 - $70

AI/ML Engineer

Hybrid in Washington, District of Columbia

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Today

About the Role We are seeking a highly skilled AI/ML Engineer to design, build, and deploy advanced machine learning and Generative AI solutions. This role requires strong hands-on engineering capabilities, deep knowledge of modern AI/ML frameworks, and the ability to translate business requirements into scalable, production-ready systems. You will work closely with cross-functional teams to enable platform adoption, drive automation, and deliver high-impact AI products. Key Responsibilities AI/

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Contract

$90 - $100 hr

Senior MLOps Engineer

Remote or Santa Clara, California

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Today

NVIDIA is seeking a Senior MLOps Engineer to help design and scale the infrastructure that powers our AI research and product development. In this role, you will partner closely with research scientists and product teams to accelerate their success on the latest GPU and accelerator platforms. By building robust ML pipelines and scalable systems, you will ensure that cutting-edge hardware innovations translate directly into faster experiments, more efficient training, and reproducible deployments

Full-time

USD 184,000.00 per year

Machine Learning/MLOps Engineer

Costa Mesa, California

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Today

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and c

Full-time

USD 191,000.00 - 253,000.00 per year

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MLOps Engineer jobs