Description

Job Description-
•    Having 7 years in Software Engineering 
•    Hands-on experience working with at least one cloud (AWS) 
•    Ability to build MLOps pipelines on AWS SageMaker. 
•    Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift. 
•    Good to have in-depth knowledge in machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc 
•    Ability to understand tools used by data scientist and experience with software development and test automation 
•    Experience with Agile development and delivery – Scrum, Lean, XP, Kanban methodologies. 
•    Proficiency in modern programming languages such as Python. 
•    AWS Machine Learning certification is a huge plus 
•    Financial services background preferred - Other highly regulated industries would be accepted 

Education/Certifications/Years of Experience: 
•    One of the following certifications preferred: AWS Certified DevOps Engineer, AWS Certified SysOps Administrator, AWS Certified Advanced Networking 
•    B.S. in Computer Science, Information Systems, or related major or equivalent IS / business experience. 
•    8+ years experience years of IS / business experience, more specifically programming, engineering and/or systems analysis. Has a broad level of understanding surrounding information systems. 
•    4+ years of strong experience with deployment and administration of J2EE application servers and containers (e.g., Websphere, JBoss, Tomcat, Spring etc.); TIBCO suite of tools; Informatica suite of tools (e.g. PowerCenter, IDQ) 
•    4+ years of experience with SOA, ESB, JMS messaging, transaction, XML and/or Web Services integration technologies

Education

Any Gradute