Industry: Information Technologies, Software Development
Salary: Highly Competitive
Employment type: Full time
This candidate will work closely with our data science team on implementing bleeding-edge machine learning methods. The ideal candidate should have a strong academic background in ML and excellent programming abilities, preferably in Python.
Apply NLP algorithms to extract information or insight from raw text data,
Develop tools or libraries to enhance and automate data science workflow,
Build and deploy NLP/ML models for the Analysed's analytical AI products,
Design and implement data pipeline for NLP/ML models,
Research and experiment with NLP/ML methods for product R&D,
Collaborate with Product and Engineering Teams to discuss and design new products, features and enhancements.
Bachelor's degree with 2+ years of experience in a quantitative field (statistics, computer science, math, computational biology, econometrics, etc.),
2+ years working with deep learning models in NLP applications
Strong programming skills in SQL, Python, and deep learning frameworks (Tensorflow, PyTorch),
Ability to stay on top of and implement state-of-the-art methods from word embeddings to transformers to transfer learning and beyond,
Great communication skills in using data to inform a story that non-technical audiences can easily digest while emphasizing impact.
NICE TO HAVE:
Experience with Graph Databases,
Experience with Kubernetes,
Experience with Spark / Hadoop,