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. Job OverviewAssignment DescriptionWe are looking for an ML Engineer to develop and deploy machine learning systems that improve the quality of large-scale geospatial datasets.
- You will build classical machine learning and NLP models to extract structured information, detect anomalies, and measure data quality.
- The role covers the full development lifecycle, from experimentation and model development to production integration and deployment at scale.
- Strong Python programming, data science expertise, and software engineering skills are essential.
What You Will Work On
- Design, develop, test, and deploy machine learning models.
- Build and maintain scalable data pipelines and software solutions.
- Apply data science techniques to improve data quality and generate insights.
- Work with LLMs, prompting techniques, and agent-based workflows.
- Develop models for classification, clustering, feature engineering, and anomaly detection.
- Integrate ML models into production systems.
- Own features and improvements from development through delivery.
- Collaborate with cross-functional teams to deliver reliable solutions.
What You Bring
- Strong Python programming skills.
- Proven experience in machine learning and data science.
- Solid understanding of classical ML algorithms, including SVM, Random Forest, Naive Bayes, and k-NN.
- Experience with LLMs, prompting, and agent-based workflows.
- Hands-on experience with PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
- Strong analytical thinking and problem-solving skills.
- Ability to balance innovative approaches with practical software delivery.
- Excellent written and verbal communication skills.
- A proactive mindset, strong ownership, and the ability to work in a fast-paced environment. Meritorious
- Experience with Scala or Java.
- Knowledge of NLP, information retrieval, or data mining.
- Experience in statistical modelling and predictive model development.