Big Data & AI/ML Engineer

Posted 18 October 2023
Salary Negotiable
Job type Contract
Discipline Technology
Contact NameSarah Ford

Job description

Our client, a global leader in financial services is looking for an Big Data & AI/ML Engineer to join their team. The ideal candidate will have a strong background in software development, leadership experience, and a proven track record in designing, developing, and implementing AI/ML models. Additionally, expertise in data handling and data architecture is essential for this role.

Must Have Qualifications:

  • 7-10+ years of software development experience and leading teams of engineers and scrum teams.
  • 4+ years of experience in applying Statistics along with end-to-end ML engineering (design, development & implementation of end-to-end AI/ML models).
  • Hands-on experience on writing and understanding complex SQL (Hive/PySpark-dataframes), optimizing joins while processing a huge amount of data.
  • Good understanding of various AI/ML models, including Classification, Clustering, Regression in detecting Product anomalies and building early warning systems.
  • Expertise with data structures, data modeling, and software architecture.

Good to Have Qualifications:

  • Expert on Hadoop and Spark Architecture and its working principle.
  • Experience in UNIX shell scripting.
  • Ability to design and develop optimized Data pipelines for batch and real-time data processing.
  • Should have experience in analysis, design, development, testing, and implementation of system applications.
  • Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.
  • Aptitude for learning and applying programming concepts.
  • Ability to effectively communicate with internal and external business partners.

Preferred Additional:

  • Experience in cloud platforms like GCP/AWS, building Microservices and scalable solutions is highly desired.
  • Knowledge of the Financial reporting ecosystem will be a plus.
  • 2+ years of experience in designing and building solutions using Kafka streams or queues.
  • Experience with GitHub and leveraging CI/CD pipelines.
  • Experience with NoSQL databases i.e., HBase, Couchbase, MongoDB.

Preferred Location: Phoenix, AZ (Remote Work Considered)