BD with exp in ML

Bachelors 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