The role focuses on designing reliable, efficient, and production-grade machine learning platforms ... Fully remote working environment with flexibility to work from Romania. * Chance to build ...
New
The role focuses on designing reliable, efficient, and production-grade machine learning platforms ... Fully remote working environment with flexibility to work from Romania. * Chance to build ...
New
Machine Learning Engineer New Grad 2024-2025 -Remote
Saint Louis, MO · Remote
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
Machine Learning Engineer New Grad 2024-2025 -Remote
Saint Louis, MO · Remote
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
$139K - $168K/yr
Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE
New
Machine Learning Tutor
Columbia, MO · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Columbia, MO · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Saint Louis, MO · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Saint Louis, MO · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Kansas City, MO · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Kansas City, MO · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
$89K - $122K/yr
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... developing reusable frameworks and standardized solutions to streamline model implementation
$89K - $122K/yr
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... developing reusable frameworks and standardized solutions to streamline model implementation
Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...
Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...
Senior AI Engineer
Chesterfield, MO · Remote
$54.75 - $70.50/hr
Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...
Senior AI Engineer
Chesterfield, MO · Remote
$54.75 - $70.50/hr
Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...
... in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI ... machine learning techniques. * Own the end-to-end lifecycle of AI features, including problem ...
New
... in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI ... machine learning techniques. * Own the end-to-end lifecycle of AI features, including problem ...
New
This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ... Deep understanding of programming for data-intensive and scalable ML applications. Proven ...
This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ... Deep understanding of programming for data-intensive and scalable ML applications. Proven ...
You will be part of a remote-first environment that values autonomy, continuous learning, and ... Collaborate with AI and machine learning specialists to transform models into reliable, scalable ...
You will be part of a remote-first environment that values autonomy, continuous learning, and ... Collaborate with AI and machine learning specialists to transform models into reliable, scalable ...
Senior Software Engineer Applied AI
Jefferson City, MO · Remote
$116K - $153K/yr
Applied AI (Voice Agents & ML Systems) AMC Health · Remote (US) · Full-time The pitch We build ... plus the machine learning and LLM pipelines around them. This is one seat that spans four ...
New
Senior Software Engineer Applied AI
Jefferson City, MO · Remote
$116K - $153K/yr
Applied AI (Voice Agents & ML Systems) AMC Health · Remote (US) · Full-time The pitch We build ... plus the machine learning and LLM pipelines around them. This is one seat that spans four ...
New
$93K - $126K/yr
... remote and globally distributed environment ... Passion for artificial intelligence, machine learning technologies, and making advanced tools ...
New
$93K - $126K/yr
... remote and globally distributed environment ... Passion for artificial intelligence, machine learning technologies, and making advanced tools ...
New
Collaborate closely with machine learning and backend engineering teams to optimize end-to-end ... Fully remote working flexibility within Europe. * Opportunity to work on impactful AI ...
New
Collaborate closely with machine learning and backend engineering teams to optimize end-to-end ... Fully remote working flexibility within Europe. * Opportunity to work on impactful AI ...
New
Partner with Product, Analytics, Data Science, Machine Learning, and engineering leadership to ... Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful ...
Partner with Product, Analytics, Data Science, Machine Learning, and engineering leadership to ... Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful ...
Remote Machine Learning Ops Engineer information
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Full-time
Posted 2 days ago
New
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal ML Ops Engineer based in Netherlands.
This is a highly technical leadership opportunity to build and scale the infrastructure powering next-generation AI applications.
The role focuses on designing reliable, efficient, and production-grade machine learning platforms capable of supporting large-scale AI workloads.
You will take ownership of model serving systems, GPU-powered infrastructure, deployment pipelines, and operational excellence.
Working closely with infrastructure, platform, and AI teams, you will help shape the foundations of a modern AI-native cloud ecosystem.
This position offers the chance to solve complex distributed systems challenges while improving performance, scalability, and cost efficiency.
You will play a key role in defining engineering standards and building critical ML infrastructure from the ground up.
Accountabilities:
- Design, build, and operate production-grade ML inference infrastructure using modern model serving frameworks such as vLLM, TGI, Triton, or equivalent solutions.
- Develop scalable deployment pipelines supporting reliable model releases through strategies such as blue/green deployments and canary rollouts.
- Build and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing mechanisms.
- Optimize GPU utilization, memory efficiency, network performance, and model artifact storage to improve system reliability and cost effectiveness.
- Implement observability solutions to monitor inference latency, throughput, GPU usage, operational health, and infrastructure costs.
- Manage model registries, CI/CD workflows, and automation processes to enable reproducible and efficient model deployments.
- Own the complete lifecycle of ML systems, from development and deployment through production operations and ongoing support.
- Establish engineering best practices and contribute to platform architecture decisions in a fast-moving, remote-first environment.
- Collaborate with infrastructure, platform, and applied AI teams to deliver scalable and reliable AI systems.
- 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure-focused roles supporting machine learning systems.
- Strong hands-on experience with production model serving frameworks such as vLLM, TGI, Triton, or comparable technologies.
- Proven experience operating GPU-based workloads and managing containerized environments in production.
- Strong understanding of MLOps practices, including model registries, experiment tracking, automated deployment pipelines, and lifecycle management.
- Proficiency in Python and infrastructure-as-code tools such as Terraform, Helm, or similar technologies.
- Solid knowledge of distributed systems, performance optimization, scalability, and reliability engineering principles.
- Experience using AI coding assistants to accelerate software development, troubleshooting, and debugging workflows.
- Ability to work independently with strong ownership and accountability in a remote-first environment.
- Experience with ML platforms such as Kubeflow, MLflow, or KubeAI is a plus.
- Knowledge of GPU scheduling, CUDA/ROCm optimization, multi-tenant inference systems, and infrastructure cost optimization is advantageous.
- Previous experience building greenfield infrastructure projects or working in early-stage technology environments is highly valued.
- Opportunity to own and shape critical ML infrastructure for a rapidly scaling AI-focused technology platform.
- Fully remote working environment with flexibility to work from Romania.
- Chance to build foundational systems from the ground up rather than maintaining legacy infrastructure.
- Exposure to cutting-edge technologies across distributed systems, GPU computing, and large-scale AI model serving.
- High level of ownership and influence over technical decisions and engineering practices.
- Opportunity to work with experienced professionals solving complex AI infrastructure challenges.
- Dynamic startup environment with strong growth opportunities and meaningful technical impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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