Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...
Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...
Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...
Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...
AI Engineer
Glendale, WI · On-site +1
This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Contribute to MLOps practices: model versioning, monitoring, evaluation, and continuous improvement ...
AI Engineer
Glendale, WI · On-site +1
This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Contribute to MLOps practices: model versioning, monitoring, evaluation, and continuous improvement ...
Remote Mlops information
What is a remote mlops?
A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.
What are the key skills and qualifications needed to thrive as a remote mlops engineer?
To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.
What are some common challenges faced by remote mlops engineers, and how can they be overcome?
Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.
What is the difference between Remote Mlops vs Data Engineer?
| Aspect | Remote Mlops | Data Engineer |
|---|---|---|
| Required Credentials | Certifications in cloud platforms, ML frameworks, scripting skills | Database, ETL, SQL, cloud certifications |
| Work Environment | Remote, cloud-based, collaboration with ML teams | Remote or on-site, data infrastructure focus |
| Industry Usage | AI/ML companies, tech firms, startups | Data-driven companies, finance, healthcare, tech |
| Common Search/Comparison | Yes | Yes |
Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.
What are the most commonly searched types of Mlops jobs in Wisconsin?
The most popular types of Mlops jobs in Wisconsin are:
What are popular job titles related to Remote Mlops jobs in Wisconsin?
For Remote Mlops jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Mlops jobs in Wisconsin look for?
The top searched job categories for Remote Mlops jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Mlops jobs?
Cities in Wisconsin with the most Remote Mlops job openings:
Contractor
Re-posted 28 days ago
Job description
Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und Betrieb regelkonformer, skalierbarer End-to-End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz.
Rahmenbedingungen
Start: ASAP
Laufzeit: Ende 2026, Verlangerung moglich
Auslastung: 100 %
Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache
400 - 450 a day
Aufgaben
Aufbau und Betrieb von End-to-End Data-Science- und ML-Workflows
Implementierung von ML-Orchestrierungslosungen (z. B. Kubeflow Pipelines)
Integration von ML-Tracking- und Experiment-Tools (MLflow, TensorBoard, o. A.)
Automatisierung von Training-, Deployment- und Monitoring-Prozessen
Entwicklung und Pflege von Python-basierten ML-Applikationen
Umsetzung von CI/CD- und GitOps-Prinzipien fur ML-Pipelines
Sicherstellung von Security & Schwachstellenmanagement fur Code, Container und Modelle
Betrieb und Weiterentwicklung produktiver KI-Anwendungen
Einbindung regulatorischer Rahmenbedingungen (z. B. AI Act, interne Policies, Kundenvorgaben)
Abstimmung mit Plattform-, Fach- und Projektteams inkl. Erwartungsmanagement
Anforderungen
Mehrjahrige Erfahrung als MLOps Engineer, ML Engineer oder Data Engineer
Sehr gute Kenntnisse in Kubernetes-/OpenShift-basierten Umgebungen
Erfahrung mit ML-Orchestrierung, ML-Tracking und Monitoring
Sehr gute Python-Kenntnisse
Sehr gute Deutsch und Englischkenntnisse
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung. Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne uber Freelancermap per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis! +43 699 14402417
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.
apply for this job