MLOps Developer
Sunnyvale, CA · On-site
MLOPS Ray Developer Location: Austin, TX/ Sunnyvale, CA/ Remote Duration: Long-term * Deep understanding of Ray, Operate, monitor, and triage all aspects of our production and non-production ...
Quick apply
MLOps Developer
Sunnyvale, CA · On-site
MLOPS Ray Developer Location: Austin, TX/ Sunnyvale, CA/ Remote Duration: Long-term * Deep understanding of Ray, Operate, monitor, and triage all aspects of our production and non-production ...
Sr. Machine Learning Ops Engineer
San Francisco, CA · On-site
$170 - $260/hr
As a Senior MLOps Engineer within the Perception Deep Learning team, you will lead the design and evolution of our machine learning platform, enabling teams to build, deploy, and scale intelligent ...
Sr. Machine Learning Ops Engineer
San Francisco, CA · On-site
$170 - $260/hr
As a Senior MLOps Engineer within the Perception Deep Learning team, you will lead the design and evolution of our machine learning platform, enabling teams to build, deploy, and scale intelligent ...
Sr. Machine Learning Ops Engineer
San Francisco, CA · On-site
$200K - $260K/yr
As a Senior MLOps Engineer within the Perception Deep Learning team, you will lead the design and evolution of our machine learning platform, enabling teams to build, deploy, and scale intelligent ...
Sr. Machine Learning Ops Engineer
San Francisco, CA · On-site
$200K - $260K/yr
As a Senior MLOps Engineer within the Perception Deep Learning team, you will lead the design and evolution of our machine learning platform, enabling teams to build, deploy, and scale intelligent ...
Sr. Site Reliability Engineer, MLOps, Infrastructure Engineering
Fremont, CA · On-site
$62.50 - $83.25/hr
Tesla is a leading electric vehicle and clean energy company, and they are seeking a Senior Site Reliability Engineer specializing in MLOps and Infrastructure Engineering. The role involves ...
Sr. Site Reliability Engineer, MLOps, Infrastructure Engineering
Fremont, CA · On-site
$62.50 - $83.25/hr
Tesla is a leading electric vehicle and clean energy company, and they are seeking a Senior Site Reliability Engineer specializing in MLOps and Infrastructure Engineering. The role involves ...
Senior MLOps / LLMOps Engineer
Milpitas, CA · On-site
$119K - $163K/yr
Senior MLOps / LLMOps Engineer Location : Milpitas 4 days onsite contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment ...
Senior MLOps / LLMOps Engineer
Milpitas, CA · On-site
$119K - $163K/yr
Senior MLOps / LLMOps Engineer Location : Milpitas 4 days onsite contracts We are looking for a Senior MLOps / LLMOps Engineer to help standardize and enhance enterprise ML and GenAI deployment ...
We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of ...
We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of ...
AI Infrastructure Engineer / MLOps
San Francisco, CA · On-site
$50 - $60/hr
Benefits: * 401(k) AI Infrastructure Engineer / MLOps San Francisco Bay Area, CA (100% Onsite) EITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine ...
Quick apply
AI Infrastructure Engineer / MLOps
San Francisco, CA · On-site
$50 - $60/hr
Benefits: * 401(k) AI Infrastructure Engineer / MLOps San Francisco Bay Area, CA (100% Onsite) EITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine ...
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal ...
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal ...
MLOps & Agentic Platform Engineer (AI Infrastructure)
San Francisco, CA · On-site
$126K - $166K/yr
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal ...
MLOps & Agentic Platform Engineer (AI Infrastructure)
San Francisco, CA · On-site
$126K - $166K/yr
We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal ...
Collaborate with the MLOps engineer to ensure models are efficiently deployed, monitored, and retrained as needed Expected Skillset: * Deep Learning & NLP : Proficiency with PyTorch/TensorFlow ...
Quick apply
Collaborate with the MLOps engineer to ensure models are efficiently deployed, monitored, and retrained as needed Expected Skillset: * Deep Learning & NLP : Proficiency with PyTorch/TensorFlow ...
Senior MLOps & AI Infrastructure Engineer
San Jose, CA · On-site
$149K - $215K/yr
About the Role We are looking for a Senior MLOps & AI Infrastructure Engineer to architect, build, and operationalize machine learning systems at scale. This role sits at the intersection of data ...
Senior MLOps & AI Infrastructure Engineer
San Jose, CA · On-site
$149K - $215K/yr
About the Role We are looking for a Senior MLOps & AI Infrastructure Engineer to architect, build, and operationalize machine learning systems at scale. This role sits at the intersection of data ...
You will work across production software engineering, distributed systems, MLOps, and model development to help the team bring new models online and operate them reliably at scale. Baton's primary ML ...
You will work across production software engineering, distributed systems, MLOps, and model development to help the team bring new models online and operate them reliably at scale. Baton's primary ML ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
As a Senior MLOps Engineer at Matterport, a part of CoStar Group, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
As a Senior MLOps Engineer at Matterport, a part of CoStar Group, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
As a Senior MLOps Engineer at Matterport, a part of CoStar Group, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
As a Senior MLOps Engineer at Matterport, a part of CoStar Group, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible ...
Senior MLOps & AI Infrastructure Engineer
San Jose, CA · On-site
$149K - $215K/yr
About the Role We are looking for a Senior MLOps & AI Infrastructure Engineer to architect, build, and operationalize machine learning systems at scale. This role sits at the intersection of data ...
Senior MLOps & AI Infrastructure Engineer
San Jose, CA · On-site
$149K - $215K/yr
About the Role We are looking for a Senior MLOps & AI Infrastructure Engineer to architect, build, and operationalize machine learning systems at scale. This role sits at the intersection of data ...
THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...
THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...
You will work across production software engineering, distributed systems, MLOps, and model development to help the team bring new models online and operate them reliably at scale. Baton's primary ML ...
Quick apply
You will work across production software engineering, distributed systems, MLOps, and model development to help the team bring new models online and operate them reliably at scale. Baton's primary ML ...
You will work across production software engineering, distributed systems, MLOps, and model development to help the team bring new models online and operate them reliably at scale. Baton's primary ML ...
You will work across production software engineering, distributed systems, MLOps, and model development to help the team bring new models online and operate them reliably at scale. Baton's primary ML ...
THE ROLE Staff Engineer for ML Infra / MLOps We are seeking a Staff ML Engineer to join our growing team. The ideal candidate is a deeply technical ML infrastructure engineer who combines hands-on ...
THE ROLE Staff Engineer for ML Infra / MLOps We are seeking a Staff ML Engineer to join our growing team. The ideal candidate is a deeply technical ML infrastructure engineer who combines hands-on ...
SRE with MLops Platform
Sunnyvale, CA · On-site
$67 - $89/hr
Site Reliability Engineer SRE - ML platform Location: Austin, TX and Sunnyvale, CA (Onsite) Job ... Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud ...
Quick apply
SRE with MLops Platform
Sunnyvale, CA · On-site
$67 - $89/hr
Site Reliability Engineer SRE - ML platform Location: Austin, TX and Sunnyvale, CA (Onsite) Job ... Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud ...
Mlops Engineer information
Are MLOps engineers in demand?
MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.
What is an MLOps engineer?
An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.
What are some common challenges MLOps engineers face in their daily work?
Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.
What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?
To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.
What does an MLOps engineer do?
An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
What are popular job titles related to Mlops Engineer jobs in San Ramon, CA? For Mlops Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs in San Ramon, CA look for? The top searched job categories for Mlops Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Mlops Engineer jobs? Cities near San Ramon, CA with the most Mlops Engineer job openings:
Job description
Position: MLOPS Ray Developer
Location: Austin, TX/ Sunnyvale, CA/ Remote
Duration: Long-term
Job Description:
- Deep understanding of Ray, Operate, monitor, and triage all aspects of our production and non-production environments. Automate deployment and orchestration of services into the cloud environment as well as other routine processes.
- Work on multiple cloud environment like AWS and GCP.
- Actively participate in capacity planning, scale testing, and disaster recovery exercises.
- Interact with and support partner teams, including Engineering, QA, and program management.
- Troubleshoot customer concerns for ML Tuning and inference endpoints on Ray.
- Designing and implementing RESTful/RPC API and services using Golang OR Python.
- Implement SLO/SLI, error budget reporting for various customers
Best Regards,
Srinivas
Sr. US IT Recruiter
Email: srinivas@smartfolksinc.com
About Smart Folks
Sourced by ZipRecruiter
Smart Folks Inc. (SFI) is a global IT Staff Augmentation and Consulting Services that discovers handpicked smart talent and routes them to the right path. Smart Folks Inc. was founded in 2011 and is headquartered in McKinney, Texas. We have global operations with localized detail to meet the high caliber needs of our clients.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
McKinney, TX, US
Year founded
2011