ML Engineer (Middle+)

Top Remote Talent; Dortmund; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A dynamic team is seeking a Middle+ ML Engineer to enhance intelligent document analysis in healthcare. Join industry experts to develop AI pipelines and validate models in a fully remote setting. The position offers flexibility and the chance to work on impactful projects in a supportive international team.

Leistungen

Flexible working hours

Fully remote job

Opportunity to work with international team

Qualifikationen

• 3+ years experience as Machine Learning Engineer in real business processes.
• Experience with cloud platforms like AWS, GCP, Azure.
• Understanding of MLOps practices including CI/CD.

Aufgaben

• Implement AI pipelines for document extraction and classification.
• Participate in dataset management and improve quality.
• Develop and validate multimodal models, monitoring their performance.

Kenntnisse

Machine Learning

Cloud Platforms

Docker

Kubernetes

Python

Tools

VLLM

Transformers

Pytorch

OpenAI

sklearn

spacy

nltk

Jobbeschreibung

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The team of experts providing analytical services to healthcare clients is looking for a great, long-term Middle+ ML Engineer to work on projects in the field of intelligent document analysis. You will have to solve problems of launching advanced models to production; optimizing pipelines for high-load environments; tuning modern multimodal models using various methods, modern technology stacks and advanced techniques.

You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.

Responsibilities:

• Implementation of AI pipelines of extraction information from documents, documents classification using advanced methods and tools (neural networks, modern LLMs etc.).

• Participation in dataset management processes: Collection of multimodal datasets from corporate data sources, evaluation and improvement of dataset quality. Maintaining datasets up-to-date.

• Developing and validating multimodal models: Participation in the processes of training and validating models. Monitoring of models performance.

Requirements:

• 3+ years ML Engineer experience in a field of implementation of ML (CV and NLP are more preferable) models in real business processes.

• Experience with cloud platforms (AWS, GCP, Azure).

• Experience with Docker/Kubernetes for ML.

• Experience with popular python ML frameworks: VLLM, Transformers, Pytorch, OpenAI, sklearn, spacy, nltk etc.

• Understanding of MLOps practices, including CI/CD for ML.

• English level B2 or higher.

Preferred Qualifications (Optional):

• Experience in healthcare or medical insurance projects.

• Experience with Google Cloud Platform (GCP).

• Experience with LLMs (Qwen VL, Pixtral, Llama); prompt engineering techniques: Chain of Thoughts, FewShot.

• flexible working hours;

• fully remote job;

• opportunity to work with international team of first-class professionals.