AI Engineer 18008

SwedenCompetitive0 applicants

About this role

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are currently looking for an experienced Machine Learning Engineer

What You Will Work On

Design, develop, and deploy machine learning models for large-scale data processing

Build and maintain scalable software and data solutions

Develop machine learning systems that improve data quality and data reliability

Apply data science techniques to generate insights from large geospatial datasets

Develop classification, clustering, anomaly detection, and predictive models

Design and implement NLP solutions for structured information extraction

Work with Large Language Models (LLMs), prompting strategies, and agent-based workflows

Develop feature engineering pipelines and model evaluation frameworks

Support model integration, productionization, and deployment activities

Collaborate with software engineers, data engineers, and business stakeholders

Optimize model performance, scalability, and operational efficiency

Own features and technical deliverables throughout the entire development lifecycle

Support continuous improvement of AI and machine learning capabilities

What You Bring

Strong programming skills with extensive experience in Python

Proven experience developing machine learning and data science solutions

Hands-on experience with classification, clustering, feature engineering, anomaly detection, and neural networks

Experience working with Large Language Models (LLMs)

Knowledge of prompt engineering and agent-based AI workflows

Strong understanding of classical machine learning algorithms including:

Support Vector Machines (SVM)

Random Forest

Naive Bayes

k-Nearest Neighbors (k-NN)

Exp

EU Requirements

Job Details

Posted13 June 2026
Closes13 July 2026

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