Infopulse welcomes talented Machine Learning Engineer/Data Scientist to collaborate with one of Big Four Consulting company.
Integrating closely with our clients, we guide them through their digital transformation. As a Machine Learning Engineer/Data Scientist, you will be responsible for data analysis, helping our customers to digitalize their daily operations through building data-driven solutions. You will be expected to collaborate extensively with our customers and help them with all parts of creating valuable end-to-end solutions. This will include applying Machine Learning and Advanced Analytics and building awesome visualization solutions
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
- 2+ 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