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Internship Remote Unity Game Developer Jobs in Wisconsin

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Unity Catalog, Performance- und Kostenoptimierung) End-to-End-Integration der Losungen in das ...

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$15.75 - $20/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$15.25 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$15.25 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

Showing results 21-40

Internship Remote Unity Game Developer information

What does a remote Unity game developer intern do?

A remote Unity game developer intern assists in designing, developing, and testing video games or interactive experiences using the Unity engine, all while working offsite. Their tasks often include coding in C#, creating or modifying game assets, debugging, and collaborating with team members via online tools. They may also participate in meetings, contribute ideas, and learn industry-standard workflows to gain practical experience. The internship offers hands-on opportunities to apply programming knowledge and creative problem-solving in a real-world game development environment.

What are the key skills and qualifications needed to thrive as an internship remote Unity game developer?

To thrive as an Internship Remote Unity Game Developer, you need a solid grasp of C# programming, familiarity with Unity engine fundamentals, and a basic understanding of game development principles, often supported by coursework or personal projects. Experience with version control systems like Git and exposure to Unity's asset management, animation, and physics tools are commonly expected. Strong problem-solving skills, effective communication, and the ability to work independently in a remote setting help interns stand out. These skills and qualities are crucial for producing quality work, collaborating with distributed teams, and adapting to the fast-paced nature of game development.

What is the difference between Internship Remote Unity Game Developer vs Remote Unity Game Developer?

AspectInternship Remote Unity Game DeveloperRemote Unity Game Developer
Experience LevelEntry-level, internship-focusedMid to senior-level, professional
CredentialsLimited or no professional experience, often students or recent graduatesProven experience, portfolio, relevant certifications
Work EnvironmentRemote, often part-time or temporaryRemote, full-time or freelance
ResponsibilitiesAssisting in game development tasks, learning, supporting teamDesign, develop, optimize Unity games, lead projects

In summary, an Internship Remote Unity Game Developer is an entry-level position aimed at gaining experience, while a Remote Unity Game Developer is a more experienced professional responsible for developing and managing Unity projects independently.

What are the most commonly searched types of Remote Unity Game Developer jobs in Wisconsin?

The most popular types of Remote Unity Game Developer jobs in Wisconsin are:

What are popular job titles related to Internship Remote Unity Game Developer jobs in Wisconsin?

For Internship Remote Unity Game Developer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Internship Remote Unity Game Developer jobs in Wisconsin look for?

The top searched job categories for Internship Remote Unity Game Developer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Internship Remote Unity Game Developer jobs?

Cities in Wisconsin with the most Internship Remote Unity Game Developer job openings:

Infographic showing various Internship Remote Unity Game Developer job openings in Wisconsin as of August 2026, with employment types broken down into 66% Full Time, 23% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Databricks AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 17 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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