Job Description

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity-not just answers-in all areas of business.

We embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another. nvironment that empowers you to excel.

They are building an artificial intelligence and machine learning practice, and we're looking for you to join our growing portfolio of AI projects. You will be involved in designing, building, and integrating data from various sources and working with an advanced engineering team and professionals from the world's largest financial institutions, law enforcement, and government agencies.

RESPONSIBILITIES:

• Design and build organizational data infrastructure and architecture
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Choose the best tools/services/resources to build robust data pipelines for data ingestion, connection, transformation, and distribution
• Design, develop and manage ETL processes
• Transform data and engineer new features for machine learning models
• Version data and create data monitoring models
• Assist with deploying models to production
• Working with global teams to deliver models

• Experience with Azure
• Experience with Python
• Experience in dealing with different kind of databases, data sources and formats
• Experience writing ETL jobs
• Experience with big data tools like data lakes, Spark, Hadoop, etc.
• Excellent communication skills
• Ability to conduct data profiling, cataloging, and mapping for technical data flows
• Ability to work with an international team

• Strong cloud architecture principles: compute, storage, networks, security, cost savings, etc.
• Experience with NLP tools like spaCy or NLTK
• Experience with machine learning tools like Tensorflow, PyTorch or Keras
• Experience with real-time data pipelines