Machine Learning Engineer / Data Scientist Offline

Areas of Responsibility

- Integrating closely with our customers to drive their digital transformation

- Drive and manage data modelling and analysis using data connectors,

SQL, Python and Rest APIs

- Provide, implement, and configure tools & data infrastructure — for data

analysts, data scientists, and business stakeholders to efficiently to deal

with large amounts of data, discover unique insights, and present them in

the best possible way

Qualifications

- 3+ years of projects’ experience with machine learning or advanced analytics

Python, SQL

- Experience with PySpark or SparkR

- Scikit-learn or similar, PyTorch, Tensorflow, etc.

Pandas, Fluent notebook data analysis (visualization)

- Are a customer-focused people person

- Are naturally curious and always ready to learn

- Have a good story about a time you created, small or large, digital impact

Will be an advantage

- Participation in Kaggle competitions

- Experience with Big Data tech stack (HDFS, Hive, Spark, Storm)

- Familiarity with NoSQL datastores (HBASE, Elasticserach, Cassandra,

etc.)

- Able to build meaningful visualizations of results

- Experience with building solution to serve model in Azure or AWS

- Knowledge of technologies Microsoft Azure Data Factory, Databricks

- Experience with data-mining methods and technologies