Artificial Intelligence/Machine Learning Software Engineer 3

Snapshot

Synchronoss is a global player in the Technology, Media and Telecommunications (TMT) industry - providing Enterprise Cloud Solutions. Our customers include top tier carriers in US, Europe and Japan. Our Bangalore offices based in the heart of the city, is one of many global locations. 

 Overview 

We’re offering an exciting opportunity to be part of our dynamic Cloud Analytics & Data Science team, which powers large-scale machine learning and analytics features used by millions of people daily. As a key contributor, you’ll help build advanced analytics for our personal cloud solution—enabling backup, sync, and content sharing for tens of millions of users. If you're passionate about driving quality data & ML solutions, this is your chance to impact a widely used product and shape the future of cloud content management. 

How you will help:

• Build data pipelines to support data ingesting, cleansing, enriching and visualization efforts in support  

of our Cloud SaaS Applications 

• Collaborate with product owners, data scientists and ML engineers to build data-driven solutions 

• Extract, transform, and load data from various sources into AWS data stores (e.g., S3, Parquet). 

• Develop Spark/PySpark components to process data at scale 

• Build, Schedule, Monitor and fine tune workflows utilizing Apache Airflow. 

• Communicate technical information to both developers and business stakeholders 

Who we have in mind:

• Bachelor’s degree in computer science or related field 

• 5 to 10 years of relevant work experience in data engineering 

• Good understanding of OOP concepts, data structures and algorithms 

• Hands on experience with Python, Spark, Kafka etc. and automation of data flows using Airflow. 

• 5+ years of experience in developing and building applications to process large amounts of data 

 (structured and unstructured), including streaming real-time data 

• SQL experience working with various databases like MySQL, Postgres 

• Familiarity with machine learning concepts and algorithms a plus 

• Comfortable with Git/GitHub or other version control systems 

• Experience working with in Agile Methodologies and Scrum Knowledge of software best practices 

It would be great if you had:

Exposure to cloud-based architecture (AWS), docker and distributed systems (Kubernetes) 

What we offer:

Synchronoss is proud to be an equal opportunity employer. As a global company, we value and celebrate diversity and are committed to a workplace free from discrimination and harassment. We take pride in fostering an inclusive environment based on mutual respect and merit. We are at our best when our workforce is dynamic in thought, experience, skill set, race, age, gender, sexual orientation, sexual expression, national origin and beyond.