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)