We are seeking a highly motivated and experienced Machine Learning Engineer with at least 3+ years of experience in Natural Language Processing (NLP).

The ideal candidate will  have a deep understanding of NLP techniques, statistics & algorithms as well as knowledge of data science and software engineering.

Your ultimate goal will be to shape and build efficient self-learning applications that can be used with our products.

• Develop machine learning applications according to requirements
• Develop and deploy NLP models to solve complex problems in the real estate domain
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver high-quality models
  • Study & transform data science prototypes
  • Aid in designing machine learning systems
  • Research & implement appropriate ML algorithms and tools
• Mentor junior team members and help them grow in their roles
• Explore and integrate new libraries and techniques to improve model accuracy
• Ensure that all models are tested and evaluated to meet performance metrics using statistical analysis
• Train and retrain systems when necessary
• Continuously monitor and optimise model performance to maintain accuracy and relevance, ensure that fine-tuning is performed after running tests
• Communicate effectively with the team and stakeholders on project progress, issues, and solutions
• Keep up to date with developments in the ML field

Competencies:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.  A Master’s degree is a plus.
• 3+ years of proven experience in developing and deploying NLP models in a production environment
• Deep understanding of NLP techniques and algorithms
• Strong programming skills in Python and experience with the following libraries: catboost, numpy, pandas, scikit-learn, scipy, spacy, and fasttext
• Experience with data processing, cleaning, and feature engineering techniques
• Knowledge of machine learning techniques such as supervised and unsupervised learning, neural networks, and deep learning
• Outstanding problem-solving skills and ability to work in a team environment
• Excellent communication skills in English (Upper-Intermediate level)
• Strong sense of ownership, speed, and continuous learning
• Curiosity and willingness to try new techniques and libraries to improve model accuracy
• Honest, transparent, and collaborative approach to work
• Valuing diversity and inclusiveness