... AutoML-Tools zur Beschleunigung von Prototypen und Experimenten Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen Fachliche Anforderungen:
... AutoML-Tools zur Beschleunigung von Prototypen und Experimenten Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen Fachliche Anforderungen:
Agentic AI Intern
San Francisco, CA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
San Francisco, CA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Boston, MA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Boston, MA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Boston, MA · On-site
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Boston, MA · On-site
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Seattle, WA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Seattle, WA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
San Francisco, CA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
San Francisco, CA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
AI Technical Sr Lead (IT)
Denver, CO · On-site
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms such as Snorkel and H2o.ai * This role offers an exciting opportunity to work at the intersection ...
AI Technical Sr Lead (IT)
Denver, CO · On-site
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms such as Snorkel and H2o.ai * This role offers an exciting opportunity to work at the intersection ...
Data Architect
Frisco, TX · On-site
$59.75 - $77/hr
Experience with MLflow, AutoML, or basic ML-enabled analytics use cases. Experience with Power BI/Tableau semantic layer design and governed reporting datasets. Experience with CI/CD pipelines ...
Data Architect
Frisco, TX · On-site
$59.75 - $77/hr
Experience with MLflow, AutoML, or basic ML-enabled analytics use cases. Experience with Power BI/Tableau semantic layer design and governed reporting datasets. Experience with CI/CD pipelines ...
AI Technical Sr Lead (IT)
Denver, CO · On-site
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms such as Snorkel and H2o.ai * This role offers an exciting opportunity to work at the intersection ...
AI Technical Sr Lead (IT)
Denver, CO · On-site
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms such as Snorkel and H2o.ai * This role offers an exciting opportunity to work at the intersection ...
Databricks expertise to drive platform adoption and accelerate the development of new use cases, supporting model automation, AutoML, and template-based development. • Hands-on: Advanced data ...
Databricks expertise to drive platform adoption and accelerate the development of new use cases, supporting model automation, AutoML, and template-based development. • Hands-on: Advanced data ...
AI Technical Sr Lead (IT)
Denver, CO · On-site +1
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms such as Snorkel and H2o.ai * This role offers an exciting opportunity to work at the intersection ...
AI Technical Sr Lead (IT)
Denver, CO · On-site +1
Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms such as Snorkel and H2o.ai * This role offers an exciting opportunity to work at the intersection ...
IOS Developer
Mountain View, CA · On-site
$61 - $84/hr
... AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in ...
IOS Developer
Mountain View, CA · On-site
$61 - $84/hr
... AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in ...
Agentic AI Intern
Boston, MA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Boston, MA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Seattle, WA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Agentic AI Intern
Seattle, WA · Remote
Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions * Translate ambiguous team pain points into well-scoped AI/ML problems ...
Sr. Ios Developer
Mountain View, CA · On-site
$70.25 - $91/hr
... AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in ...
Sr. Ios Developer
Mountain View, CA · On-site
$70.25 - $91/hr
... AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in ...
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
IOS Developer
Mountain View, CA · On-site
$61 - $84/hr
... AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in ...
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IOS Developer
Mountain View, CA · On-site
$61 - $84/hr
... AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in ...
Product Marketing Manager
OR · On-site +1
$153K/yr
Position AutoML, experiment tracking, deployment, monitoring, and CI/CD * Build buyer narrative for DS leaders, ML platform teams, and practitioners * Compete against full-lifecycle platforms and ...
Product Marketing Manager
OR · On-site +1
$153K/yr
Position AutoML, experiment tracking, deployment, monitoring, and CI/CD * Build buyer narrative for DS leaders, ML platform teams, and practitioners * Compete against full-lifecycle platforms and ...
Senior Program Manager, Agentic Ai
Sunnyvale, CA · On-site +1
Design and operate localization pipelines and leveraging GCP services (e.g., Vertex AI for model hosting/evaluation, AutoML Translation, TLLM, Cloud Functions, BigQuery) to enable scalable ...
Senior Program Manager, Agentic Ai
Sunnyvale, CA · On-site +1
Design and operate localization pipelines and leveraging GCP services (e.g., Vertex AI for model hosting/evaluation, AutoML Translation, TLLM, Cloud Functions, BigQuery) to enable scalable ...
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Automl information
What is AutoML?
AutoML, or Automated Machine Learning, refers to the process of automating the end-to-end tasks of applying machine learning to real-world problems. This includes steps like data preprocessing, feature selection, algorithm selection, and hyperparameter tuning. AutoML tools are designed to make machine learning more accessible to non-experts and to improve efficiency for experts by reducing the manual effort and expertise needed to build effective models. Popular AutoML platforms include Google Cloud AutoML, H2O AutoML, and Auto-sklearn.
What are the key skills and qualifications needed to thrive as an AutoML engineer, and why are they important?
To thrive as an AutoML Engineer, you need strong proficiency in machine learning, data science, and programming (often Python), typically supported by a degree in computer science, data science, or a related field. Familiarity with AutoML platforms (such as Google AutoML, H2O.ai, or AutoKeras), cloud services, and experience with ML frameworks like TensorFlow or scikit-learn are essential. Analytical thinking, problem-solving abilities, and effective communication help you translate business needs into automated solutions and collaborate with cross-functional teams. These skills are vital for efficiently developing robust, scalable machine learning pipelines that accelerate model deployment and drive business value.
What are some common challenges faced by professionals working in AutoML roles, and how can they be addressed?
Professionals in AutoML roles often encounter challenges related to automating complex machine learning workflows, ensuring model interpretability, and managing large-scale data pipelines. Balancing automation with customization to meet specific business needs can be tricky, as off-the-shelf solutions may not fit every scenario. Collaborating closely with data scientists, engineers, and domain experts helps in customizing AutoML solutions and overcoming integration issues. Staying updated on the latest tools and frameworks and continuously testing models in production are also essential for success.
What is the difference between Automl vs Data Scientist?
| Aspect | Automl | Data Scientist |
|---|---|---|
| Required Credentials | Typically certifications in machine learning, data analysis, or related tools | Degree in data science, statistics, computer science, or related fields |
| Work Environment | Focus on developing and deploying automated machine learning models, often in tech or AI companies | Analyze data, build models, and generate insights across various industries |
| Employer & Industry Usage | Used by companies seeking scalable ML solutions, including tech, finance, and healthcare | Employed across industries for data analysis, predictive modeling, and decision support |
Automl focuses on automating machine learning processes, making it easier to develop models without extensive coding. Data Scientists, however, perform in-depth data analysis, model building, and interpretation. While Automl tools assist Data Scientists, their roles differ in scope and expertise required.
More about Automl jobs
What are the most commonly searched types of Automl jobs?
The most popular types of Automl jobs are:
What job categories do people searching Automl jobs look for?
The top searched job categories for Automl jobs are:
Contractor
Re-posted 16 days ago
Job description
Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer (m/w/d) gesucht.
Ziel ist die Entwicklung, Implementierung und der Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps, Deployment und Monitoring.
Der Fokus liegt auf Big-Data-Engineering, ML/LLM-Workloads, MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem.
520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch
Aufgaben:
Datenanalyse und Prototyping mit Python in Azure Databricks unter Einsatz gangiger ML-Frameworks
Entwicklung und Betrieb von Big-Data-Pipelines mit Apache Spark, Delta Lake und Databricks SQL
Durchfuhrung von Feature Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow
Entwicklung und Betrieb von ML- und LLM-Workloads auf Azure Databricks (inkl. Unity Catalog, Performance- und Kostenoptimierung)
End-to-End-Integration der Losungen in das Microsoft-Okosystem (z. B. API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps)
Aufbau und Weiterentwicklung von MLOps- und CI/CD-Pipelines fur automatisiertes Training, Testing, Deployment und Monitoring von ML- und LLM-Modellen sowie Agents
Durchfuhrung von Modell- und Datenmonitoring (Modellleistung, Daten-Drift, Bias) inklusive Wartungs- und Updateprozessen
Einsatz von AutoML-Tools zur Beschleunigung von Prototypen und Experimenten
Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen
Fachliche Anforderungen:
Fundierte Kenntnisse in Datenanalyse und Prototyping mit Python in Azure Databricks
Erfahrung mit Machine-Learning-Frameworks wie TensorFlow, PyTorch und scikit-learn
Praktische Erfahrung im Big Data Engineering mit Apache Spark, Delta Lake und Databricks SQL
Kompetenz in Feature Engineering sowie Modell-Deployment mit managed Databricks MLflow
Erfahrung in der Entwicklung und dem Betrieb von ML- und LLM-Workloads auf Azure Databricks
Erfahrung mit End-to-End-Integrationen im Microsoft-Okosystem
Erfahrung im Aufbau von MLOps- und CI/CD-Pipelines fur ML- und LLM-Modelle sowie agentische Workflows
Erfahrung im Modell- und Datenmonitoring (Leistung, Drift, Bias) inklusive passender Wartungsstrategien
Praktische Erfahrung im Einsatz von AutoML-Tools
Vorhandensein einer eigenen, vom Produktivsystem des Auftraggebers getrennten Entwicklungsumgebung, die den aktuellen Standards fur Datensicherheit und Zugriffsschutz entspricht (inkl. Nachweis der Infrastruktur)
PLUS:
Erfahrung mit Data- und KI-Governance
Erfahrung in der Konzeption und Umsetzung agentischer Ansatze (Agenten, Multi-Agent-Systeme, agentische Workflows) mit Azure-Ressourcen
Erfahrung in der Umsetzung von End-to-End-Databricks-Projekten (von Datenaufbereitung und Feature Engineering uber Modelltraining und Deployment bis zu MLOps und Monitoring)
Branchenkenntnisse in der Energieindustrie
Strukturierte und analytische Arbeitsweise
Hohes Qualitatsbewusstsein und Verantwortungsbereitschaft
Sehr gute Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit und Bereitschaft zur Wissensweitergabe
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