MEICS TM stands for Merging Islands of Content and Services and it offers training, advanced consulting and solution platform in the emerging Cloud, AI, Big Data and Mobility technologies. - Technology advisory and architect roles in Fortune 50 companies in emerging technology platforms, product and project delivery for Telecom, Financial, Healthcare and Education verticals.
- Participate in ISV partner network for Pivotal Cloud Foundry, Google, Amazon Web Services (AWS), Microsoft Azure Cloud PaaS
- Provide Data Architect and Integration Engineer roles in Cloud, Big Data, Mobility, SDN, Deep Learning, Recommender systems, Content Delivery Networks
- Evaluation of Cloud, Big Data Vendors, Proof of Concept and Production Ready involving large scale and distributed cluster deployment
- Model and Configuration driven architecture and design
- Experience with HIPAA standards and FDA filing related to software platforms for medical device companies in the pharmaceutical industry.
- Promote adoption of Open Standards such as Open Data Center Alliance (ODCA), Open Stack TM, Cloud Security Alliance (CSA), Open Identity, Cloud Messaging (AMQP) among others.
- Behavior and Test Driven Design and best practices design patterns for development
Copyrights Reserved for MEICS Inc, 2012-2019 | MEICS TM offers talent and expertise in the following areas: - Experience with UML based Model driven Architecture (MDA) including OMG standards for Actions (Model behavior)
- Extensive knowledge of Spring, Java and Web Platform
- Experience in IaaS, PaaS, SaaS Platforms, Objective C/iOS, C#, Linq/.NET, Python, R.
- Promote Rules basedConfiguration driven (not code driven) with experience in 3rd party Rules Engine such as JBOSS Drools
- Mobile native and web platform support for myriad of mobile devices such as Apple iPhone, iPad, Google Android,, Google Home, Amazon Alexa
- Experience with development and validation of algorithms for Predictive and Inferential Analytics 2.0 a.k.a. Deep Learning, Continuous Learning TM and Recommender Systems at real time
- Experience with Analytics platforms including Data, Visual and Predictive analytics using statistical and ML models such as R, Sci-kit/Python
- Expertise with Content Delivery Network Providers for providing access closer to customer location such as Akamai CDN
- Experience with evaluation, and selection of Cloud, Big Data (NoSQL, Spark, Hadoop) and CDN platform vendors
- Experience with Spring and ASP.net based micro services design including Spring Boot, Spring Cloud
- Knowledge of Kubernetes, Mesos and Docker container including Container as a service
- Open API 3.0 (swagger) specification and cloud subscription API manager (Apigee, Azure API manager, etc.)
|