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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