| Urgent requirement -Data Scientist AI-ML - Hybrid role - Washington, D.C at Washington, DC, USA |
| Email: [email protected] |
| From: Ashish Kumar, Themesoft Inc [email protected] Reply to: [email protected] Hi team, Need Support, please share relevant profiles asap. Kindly look for Data Scientist / ML / AI with exp in .Net azure technologies. local or open to relocate to Washington, D.C. This is hybrid role 3-4 days from office. Role : Data Science / AI / ML with exp in .NET azure technologies. Exp Range: 14+ years Location: Washington, D.C ( hybrid, 3-4 days from office , no remote ) Position - Data Science / AI / ML with exp in .NET azure technologies Location: Washington DC Job Description: 15+ years of experience with 7-10 years of experience in defining technical, solution architecture for large enterprise applications using.NET based technology stack, API, Microservices, Azure Cloud and Container technologies. Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Hands-on programming and architecture capabilities in Python, Java, R, or SCALA Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, etc.) Strong hands-on experience with statistical packages and ML libraries (e. g. R, Python scikit learn, Spark MLlib, etc.) Developing AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications. In-depth experience in AI/ML and Data analytics services offered on Microsoft Azure cloud solution and their interdependencies. Specializes in at least one of the AI/ML stacks (Frameworks and tools like MxNET and Tensorflow etc.) Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning. Strong experience with Microservices /API, Service oriented architecture, distributed applications, working in large ecosystem. Knowledge on any of the Web Technologies such as ReactJS/AngularJS, jQuery, Html 5, CSS 3 and Webservices Experience with areas of Messaging, Transaction Management, Spring MVC, Hibernate, DAO, etc. Strong command on OOP, modern architecture concepts and current industry trends. Experienced with Azure Cloud Experienced with Container technologies like Kubernetes Experienced with Devops pipelines and/or any of the platforms like AzureDevops, Jenkins setup. Maintains awareness of new and emerging technologies and the potential application on service offerings and products provided by IT. Familiar with supporting peer teams and responsibilities such as infrastructure, operations, enterprise architecture, info security. Experience working with multi-vendor, multi-culture, distributed offshore and onshore development teams in dynamic and complex environment. Must have excellent written and verbal communication skills. Experience in BFS domain. Roles & Responsibilities: Understand the requirements, current state architecture of the enterprise and create roadmap for the future enhancements accordingly. Create Software Architecture Document, High Level and Low-Level Design document, Nonfunctional requirements for the project. Define Integration Design and Security Design for the Web Services and Enterprise components involved. Participate in production of detailed functional design documents to match customer requirements. Participate in production of technical specification for development and integration requirements. Review design documents for services such as Service Design Document, Service physical Document and define Service SLAs in Nonfunctional requirements. Collect and Provide estimates for the requirements. Engage with client architecture group. Collaborate with internal technology teams and contribute to various internal initiatives. Mentor and train project team members on the Solution details for a smoother execution. Ensure quality deliverables. Keywords: cprogramm artificial intelligence machine learning rlang information technology |
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| Thu Nov 16 23:56:00 UTC 2023 |