Big Data Engineer with AIML Experience

Job Description:

• Bachelor degree in Engineering or Computer Science or equivalent OR Masters in Computer Applications or equivalent.
• 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 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 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 i.e., HBase, Couchbase, MongoDB