Remote AI Engineer for Production ML & MLOps

Jobgether; Lavamünd; Vor Ort; EUR 38.000 - 51.000; Vollzeit

Benefits dieser Stelle

Full-time employment

Fully remote work arrangement

International and remote working环境

Zusammenfassung

Jobgether lists a partner company for an AI Engineer role that is fully remote and based in Switzerland. The position focuses on building production-ready AI systems across LLMs, NLP, and computer vision, with emphasis on deployment, MLOps, and scalable design.

You will work on data pipelines, model training and evaluation, and collaboration with distributed teams to translate complex AI concepts for stakeholders. Strong Python, PyTorch/TensorFlow, and cloud skills are required.

Qualifikationen

• 2–5 years of hands-on experience building and deploying ML/AI models in production.
• Strong proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Experience designing and architecting custom AI or ML models.
• Hands-on knowledge of LLMs, NLP, computer vision, or another relevant AI domain.
• Strong understanding of supervised and unsupervised learning, deep learning architectures, optimization techniques, and model evaluation metrics.
• Experience with data preprocessing, feature engineering, data mining, and data-labeling pipelines.
• Familiarity with MLOps and model deployment tools such as MLflow, Kubeflow, or SageMaker.
• Knowledge of cloud platforms and services used for model training and serving, such as AWS Lambda.
• Experience with Docker and containerized model deployment.
• Familiarity with Git and collaborative software development practices.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Ability to explain complex technical concepts clearly to non-technical stakeholders.
• Curiosity-driven mindset, adaptability, and comfort working in an evolving environment.
• Ability to work independently while collaborating effectively with distributed teams.

Aufgaben

• Design, deploy ML/AI systems at scale for real-world apps.
• Build and maintain AI models for domain-specific use cases.
• Develop data pipelines for mining, labeling, feature engineering.
• Prepare high-quality training and evaluation data from large datasets.
• Apply ML techniques across LLMs, NLP, CV, and related domains.
• Train, evaluate, optimize, improve models based on results.
• Design and maintain MLOps pipelines for production environments.
• Deploy and serve models using cloud platforms and containers.
• Use Docker, Git, and MLOps tools in collaborative workflows.
• Analyze model performance, identify limitations, implement improvements.
• Explain technical concepts clearly to non-technical stakeholders.
• Collaborate with distributed teams and adapt in evolving environment.

Kenntnisse

Python

PyTorch

TensorFlow

LLMs

NLP

Computer Vision

MLOps

Docker

Git

Cloud Platforms

Data preprocessing

Model deployment

Problem solving

Tools

MLflow

Kubeflow

SageMaker

AWS Lambda

Jobbeschreibung

Jobgether lists a partner company for an AI Engineer role that is fully remote and based in Switzerland. The position focuses on building production-ready AI systems across LLMs, NLP, and computer vision, with emphasis on deployment, MLOps, and scalable design.

You will work on data pipelines, model training and evaluation, and collaboration with distributed teams to translate complex AI concepts for stakeholders. Strong Python, PyTorch/TensorFlow, and cloud skills are required.