We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future *

• Should have minimum of 10 years of IT experience Working experience in Machine learning


• Operate and maintain systems supporting the provisioning of new clients, applications, and features.


• Day-to-day monitoring of the Production service delivery environment to ensure all services and applications are operating optimally and SLAs are met.


• Software deployment and configuration management in both QA and Production environments.


• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules


• Design, build and optimize applications’ containerization and orchestration with Docker and Kubernetes and AWS or Azure


• Automate applications and infrastructure deployments


• Produce build and deployment automation scripts to integrate between services


• Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with assigned engineering team


• Experience with cloud computing platforms: Google Cloud, Amazon Web Service, Azure, and Kubernetes.


• Experience in Azure cloud services (especially Azure Devops) and deploying production code in the same


• Experience in MLFlow, Qubeflow, MLTracking, ML Experiments


• Experience in big data technologies preferred: Hadoop, Hive, Spark, and Kafka.


• Knowledge of machine learning frameworks: Tensor flow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.Collects data, analyzes and reports for early detection and correction, continual improvement.


• Recognize and attend to important details with accuracy and efficiency.


• 7 - 10 years of experience working as Data Scientist


• Experience  working in  Cloud


• Bachelor’s degree from a four-year college or university or equivalent experience.


• ANSI Sql


• Azure Machine Learning


• Experience in Azure Cloud


• Neural net proficiency


• Multi-layer perceptron


• Text processing

Must Have Skills

• AWS Machine Learning

• Machine Learning

• Data Science

• Spark

• Python

Technical Skills