Machine Learning

Job Description

Exp level: 5+
Description
In this role you’ll be responsible for building machine learning based systems and
conduct data analysis that improves the quality of our large geospatial data. You’ll be
developing NLP models to extract information, using outlier detection to identifying
anomalies and applying data science methods to quantify the quality of our data. You
will take part in the development, integration, productionisation and deployment of
the models at scale, which would require a good combination of data science and
software development.
Responsibilities
 Development of machine learning models
 Building and maintaining software development solutions
 Provide insights by applying data science methods
 Take ownership of delivering features and improvements on time
Must-have Qualifications
 Strong programming skills and extensive experience with Python
 Hands-on experience in fine-tuning and deploying deep learning models,
experience with LLM fine-tuning is a plus.
 Professional experience working with LLMs, transformers and open-source
models from HuggingFace
 Professional experience working with machine learning and data science,
such as classification, feature engineering, clustering, anomaly detection and
neural networks
 Knowledgeable in classic machine learning algorithms (SVM, Random Forest,
Naive Bayes, KNN etc).
 Experience using deep learning libraries and platforms, such as PyTorch
 Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
 Excellent analytical and problem solving skills
 Excellent oral and written communication skills
Extra Merit Qualifications
 Knowledge in at least one of the following: NLP, information retrieval, data
mining
 Ability to do statistical modeling and building predictive models
 Programming skills and experience with Scala and/or Java