Sr. ML Ops Engineer

Sr. ML Ops Engineer

Vacancy expired!

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel, and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below.

Will work with our clients to:

• Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.

• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements.

ML OPs Engineer Required:

• Consulting, Data, and Analytics experience
• Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference
• Experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production.
• Strong knowledge of Python or R
• Programming experience with Node.js, SQL, Java, JavaScript OR PERL
• Experience in cloud-based data platforms on AWS, Google Cloud Platform and Azure
• Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS
• Understanding of multi-tier application architectures
• Ability to develop, test and maintain programming environments and architectural standards
• Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket)

• Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins
• Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo
• Experience on code quality assessment tools and integration with CI tool
• Strong logical structuring and problem-solving skills
• Strong verbal, written and presentation skills
• Ability to travel 10-20%, on average, based on the work you do and the clients and industries/sectors you serve

• Must be willing to live and work in one of our Center locations:

• Lake Mary, FL (Orlando area)

• Mechanicsburg, PA (Harrisburg area)

• Gilbert, AZ (Phoenix area)

Preferred Additional:

• Experience in using Spark either with Scala or Python
• Experience with different database types like RDS and NoSQL
• Experience in cloud deployments
• Knowledge of working in a Linux environment
• Experience in Docker /Swarm / Kubernetes
• Experience or exposure to Test Driven Development Experience (Junit / TestNG)
• Experience on Behavior Driven Development Experience (Cucumber / Selenium)
• Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI
• Experience with real time data movement solutions that use security and encryption protocols while data is in transit