Position: Data Science Engineer – Data

BASIC QUALIFICATIONS

• Bachelor's
or master’s degree in computer science, IT or related technical field

· 5+
years of professional software development experience

· 3+
year experience with programming languages such as Python, R and open -source
technologies (Apache, Hadoop, Spark, PyTorch, TensorFlow)

PREFERRED QUALIFICATIONS

• Proficiency
in Python, R, Spark.

• Machine
learning knowledge and experience.

• Experience
building tools for data scientists and developers. Must have experience in AWS
SageMaker and AWS SageMaker Studio

• Experience
with IDE/notebook software (Jupyter Studio, R -Studio, VSCode, PyCharm, etc)

• Experience
in building data pipeline using on cloud using Cloud technologies (S3, Lakeformation,
SQS, SNS, Kinesis, Spark, Kafka, Glue etc)

• Good
to have experience in Data Visualization tools like SAS, Tableau, AWS
Quicksight

Key Responsibilities:

• Design




and implement cloud solutions, build MLOps on cloud. Preferably AWS Cloud.

• Build
model and data pipelines for Data Scientists and Data Engineers using AWS cloud
services.

• Assist
in data science model review, run the code refactoring and optimization,
containerization, deployment, versioning, and monitoring of its model quality.

• Hands
on experience with different features of AWS SageMaker including but not
limited to SageMaker Studio, Jupyter Notebooks, Data Wrangler, Clarify etc.

• Good
understanding of the Python ML Libraries. Should be able to prototype and
evaluate recent libraries and new features available.

• Experience
in communicating with Data science team, Cloud Infrastructure team and developers
to collect requirements, describe software product features, and technical
designs.

• Ability
and willingness to multi -task and learn new technologies quickly

• Stakeholder
management with good Written and verbal technical communication skills with an
ability to present complex technical information in a clear and concise manner
to a variety of audiences