Data Science NLP Engineer (audit and assurance company BIG FOUR) Offline
Requirements:
- Education: Bachelor’s degree (IT/Software Enginnering/Mathematics)
- Work experience: 3+ years
Strong expertise in:
- Machine Learning and Data Science
- Statistics (probability distribution, hypothesis testing)
- Classical ML algorithms (Linear Regression, Decision Trees, SVM, Clustering, etc.)
- MLOps (BentoML, Docker, Kubernetes, KubeFlow, KNative)
- Python (PyTorch or Tensor)
- General programming skills (OOP, OO design, MVC, Design patterns)
- Solid understanding of ML/DS processes (from data preparation to model deployment)
- Proven portfolio of successful projects
- Participation in team projects
- Good verbal and written communication English skills (Upper Intermediate level)
- Experience in data extraction, cleansing, and preparation for ML training and test data sets
- Experience in analysis of structured and unstructured / semi-structured data (e.g. raw text, json, xml)
- Statistical Analysis & Modelling experience
- Good knowledge of Predictive Modelling, Regression and Classification techniques
- Good knowledge of Deep learning tools and techniques
- Understanding and knowledge of Natural Language Processing (NLP) applications
- Any BigData platform knowledge and/or experience (Apache Spark, Hadoop, Hive etc)
Responsibilities:
- Bring new ideas in software development
- Leverage industry knowledge and stay close to technology developments
- Collaborate with cross-functional teams
It will be a plus:
- Hackathons/Kaggle experience
- Data Visualisation (e.g. using Python, Tableau, R Shiny)
- Hands on experience developing with relevant Python toolkits
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