POSITION

Sr. Data Engineer (ML Engineer)

LOCATION

Bangalore, India

ABOUT DIGICERT

DigiCert is a leading provider of scalable security solutions for a connected world. The most innovative companies, including Global 2000, choose DigiCert for its expertise in identity and encryption for web servers and Internet of Things devices. DigiCert supports SSL/TLS and other digital certificates for PKI deployments at any scale through its certificate lifecycle management platform, Central®. The company has been recognized with dozens of awards for its enterprise-grade management platform, fast and knowledgeable customer support, and market-leading growth. Are you passionate about building scalable, reliable, maintainable infrastructure and solving data problems at scale? Come join us and be part of the Data Journey.

Responsibilities I want to and can do that:

· This position will interact with internal Data Engineering Infrastructure and processes

· Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time

· Design and implement the pipelines for training and deployment of ML models

· Design dashboards to monitor a system, collect metrics, create alerts based on them and execute performance tests

· Perform feasibility studies/analysis with a critical point of view. and support and maintain (troubleshoot issues with data and applications)

· Design and implement processes supporting data transformation, data structures, metadata, dependency, and workload management.

· Build Data Profiling, validation and quality analysis processes to ensure there are no gaps in Data delivered to the business for further analysis

· Make continuous improvements to the data platform architecture to support DigiCert’s growing data needs

· Work with data and analytics experts to strive for greater functionality in our data systems

· Make recommendations for new metrics, techniques, and strategies to improve operational performance

· Execute high priority (i.e. cross functional, high impact) projects to improve operational performance

Requirements:

· 4+ years’ experience working with programming languages: PySpark, SQL, Python, R

· Ability to think creatively; Builder who is ambitious; Highest standards of accuracy and precision; highly organized

· Experience with ML/Ops technologies like Databricks/AWS ML

· Experience with AI/ML frameworks: Torch, Onnx, Tensorflow ,designing and implementing CICD pipelines for automation and monitoring dashboards (Grafana or similar)

· Experience working with S3, Delta Lake Data, Databricks

· Experience using GIT for version control

· Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Preferred Requirements extra credit:

· Experience with ML-Flow

· Databricks certification

· Experience with Mariadb/Mysql

Education:

· Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field

· 5+ years of experience in a Data Engineer/ ML Engineer role

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