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- Machine Learning Engineer / Data Scientist at 2MNordic
Machine Learning Engineer / Data Scientist at 2MNordic
2MNordic IT Consulting ABSkåne län, Malmö
Previous experience is desired
~55 500 kr / per month ->
Fixed monthly, weekly, or hourly salary
Education:
Data
Eftergymnasial utbildning två år eller längre
29 days left
to apply for the job
2MNordic is a Swedish IT consulting company. Since 2001, we’ve helped our customers re-engineer, digitalize, manage, and operate their most essential product development. We advance ways of working that improve customer experiences, heighten efficiency, and lower operating costs to deliver clear outcomes and top-line growth. We have the pleasure of working with a wide variety of companies across several industries.
Our highest priority is to create the best customer experience by working across different skill sets, technologies, and locations as a cohesive team alongside our customers. We deliver digital solutions that drive their business growth and increase operating efficiency.
Machine Learning Engineer / Data Scientist
Are you passionate about applying machine learning to solve real-world problems at scale?
We are looking for an experienced Machine Learning Engineer or Data Scientist to develop intelligent solutions that improve data quality, automate analysis, and generate valuable business insights.
You will work across the full machine learning lifecycle—from experimentation and model development to production deployment and continuous improvement.
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.
Required Qualifications
- 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.
Meritorious (Nice to have)
- Experience with Java or Scala.
- Knowledge of NLP, Information Retrieval, Data Mining, or Predictive Analytics.
- Experience building statistical or predictive models.
Personal Profile
- You are curious, analytical, and motivated by solving challenging problems with data. You enjoy working collaboratively, taking ownership, and turning research into production-ready solutions that create real business value.
Inclusion Statement
We focus on your competence, not your other prerequisites. We are open to adapting the role or workplace to suit your needs.
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