4 days ago

AI Engineer

Jobgether

Netherlands

4 days ago

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AI Engineer

AI Engineer needed for a fully remote role based in the Netherlands, focused on building production-ready machine learning and AI solutions at scale. Requires 2–5 years of hands-on experience deploying ML/AI models, strong Python proficiency, and practical experience with PyTorch and/or TensorFlow. The role spans LLMs, NLP, computer vision, data pipelines, model deployment, and MLOps.

Core AIRemoteFull-timeMid LevelPythonPyTorch

AI Engineer

Apply

Core AIRemoteFull-timeMid LevelPython

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Fully remote work arrangement

Experience Required

5 years

Employment Type

Full-time

Experience Level

2–5 years of hands-on experience

Core Qualifications

Technical (Must-have)

PythonPyTorchTensorFlowMachine LearningDeep LearningLLMsNLPComputer VisionMLOpsMLflowKubeflowSageMakerAWS LambdaDockerGit

Soft Skills

AnalyticalTroubleshootingProblem-solvingCommunicationCuriosityAdaptabilityIndependenceCollaboration

Key Responsibilities

•Design, develop, and deploy machine learning and AI systems for real-world applications at scale.
•Build, customize, optimize, and maintain AI models for domain-specific use cases.
•Develop and maintain data mining, preprocessing, feature engineering, and data-labeling pipelines.
•Work with large datasets to prepare high-quality training and evaluation data.
•Apply machine learning techniques across areas such as large language models, natural language processing, computer vision, and other AI domains.
•Train, evaluate, optimize, and continuously improve machine learning models based on performance results.
•Design and maintain model deployment and MLOps pipelines to support reliable production environments.
•Deploy and serve models using cloud platforms and containerized environments.
•Use Docker, Git, and relevant MLOps tools as part of collaborative software development workflows.
•Analyze model performance, identify limitations, and implement opportunities for improvement.
•Communicate technical concepts, findings, and project progress clearly to non-technical stakeholders.

AI EngineerMachine LearningRemoteNetherlandsInternet MarketplaceLLMsNLPComputer VisionMLOpsFull-time

Key Responsibilities

•Design, develop, and deploy machine learning and AI systems for real-world applications at scale.

•Build, customize, optimize, and maintain AI models for domain-specific use cases.

•Develop and maintain data mining, preprocessing, feature engineering, and data-labeling pipelines.

•Work with large datasets to prepare high-quality training and evaluation data.

•Apply machine learning techniques across areas such as large language models, natural language processing, computer vision, and other AI domains.

•Train, evaluate, optimize, and continuously improve machine learning models based on performance results.

•Design and maintain model deployment and MLOps pipelines to support reliable production environments.

•Deploy and serve models using cloud platforms and containerized environments.

•Use Docker, Git, and relevant MLOps tools as part of collaborative software development workflows.

•Analyze model performance, identify limitations, and implement opportunities for improvement.

•Communicate technical concepts, findings, and project progress clearly to non-technical stakeholders.