Machine Learning Engineer

Hire IT People
Alpharetta, United States of America
1 month ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Alpharetta, United States of America

Tech stack

Data analysis
Big Data
Cloudera Impala
Data Structures
Distributed Systems
Hadoop
HBase
Hive
Python
Machine Learning
Software Architecture
SQL Databases
Spark
PySpark
Scikit Learn
Data Pipelines

Job description

  • Developing and implementing ML models in Big data ecosystem i.e. Hadoop, Spark, HBase, Hive / Impala or any other similar distributed computing technology
  • Diagnose and Fix Data Pipeline issues using advanced Python/PySpark and basic libraries for machine learning such as scikit-learn, pandas
  • Conduct Data Analysis using Complex and Optimized SQL Queries

Requirements

  • 10+ Years of Data Engineering/Data Science Experience developing and implementing ML models in Big data ecosystem i.e. Hadoop, Spark, HBase, Hive / Impala or any other similar distributed computing technology
  • Proficiency (Expert Level) with Python and PySpark and basic libraries for machine learning such as scikit-learn, pandas
  • Proficiency with DataIku or similar tools (Alteryx, Databricks, MatLab, Knime, AWS Machine Learning, Azure Machine Learning, Datarobot)
  • Proficiency in data analysis using complex and optimized SQL and / or above-mentioned technologies

Plusses:

  • Cloud Experience w/Databricks, Snowflake, Azure, or AWS
  • Team is eventually transitioning to Cloud Environment w/Databricks, Azure, Snowflake
  • Financial Services Experience
  • Experience directly working with business teams to gather requirements to build ML Algorithms
  • Understanding of data structures, data modeling and software architecture
  • Experience in architecture, design and implementation of data intensive applications for practical use-case

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