You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

BASIC QUALIFICATIONS

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

• 6+ 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.
• 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 new 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

Job Category:

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