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Machine Learning Engineer / Data Scientist

Malmö, Sweden💼 Full-time🗓 2026-07-06 → 2026-07-31

Core

Develop intelligent solutions to improve data quality, automate analysis, and generate business insights using machine learning.

Role type

Senior Machine Learning Engineer / Data Scientist

Builds

Scalable data pipelines, production-ready ML solutions, and NLP/agent-based AI systems

Domain

IT consulting, digital transformation, enterprise data solutions

Deliverable

production ML models

Required skills

Python, Machine Learning, LLMs, prompt engineering, agent-based AI, PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, NumPy, supervised/unsupervised algorithms, scalable production ML

Preferred skills

Java, Scala, NLP, Information Retrieval, Data Mining, Predictive Analytics, statistical modeling

Technologies

PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, NumPy

Responsibilities

Design, develop, and deploy machine learning models; Build scalable data pipelines and software solutions; Analyze large datasets to improve quality and generate actionable insights; Develop and optimize NLP and machine learning solutions; Integrate machine learning models into production systems; Take ownership of features throughout the entire development lifecycle

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Design, develop, and deploy machine learning models. - Build scalable data pipelines and software solutions. - Analyze large datasets to improve quality and generate actionable insights. - Develop and optimize NLP and machine learning solutions. - Integrate machine learning models into production systems. - Collaborate with software engineers, data engineers, and domain experts. - Take ownership of features throughout the entire development lifecycle. ## Requirements - Strong programming skills in Python. - Solid experience in Machine Learning and Data Science. - Experience with LLMs, prompt engineering, and agent-based AI solutions. - Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, and NumPy. - Strong understanding of supervised and unsupervised machine learning algorithms. - Experience building scalable production-ready ML solutions. - Strong analytical and problem-solving skills. - Excellent communication skills in English. ## Nice to Have - Experience with Java or Scala. - Knowledge of NLP, Information Retrieval, Data Mining, or Predictive Analytics. - Experience building statistical or predictive models. ## Benefits - Work with a diverse team across different skill sets, technologies, and locations. - Deliver digital solutions that drive business growth and increase operating efficiency. - Create best customer experience through cohesive team collaboration. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
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