| Immediate Closure - Direct Client Urgent Roles for 1. Lead React JS Developer 2. Quality Assurance Lead/3.GCP Data Architect 4 / Lead Data Scientist With AI Exp /5.SharePoint Architect at Remote, Remote, USA |
| Email: [email protected] |
| Hello Usjobs My name is Dev Venkat and I am the Recruiting Manager with The Dignify Solutions, LLC. I am reaching out to you for some exciting job opportunities with some of our Direct Clients. We have the following most important & super urgent job opportunities with our multiple clients. If you have any available & qualified matching candidates, please send me a copy of your resume in word format along with the contact and following details ASAP. Full Candidate Name: Current Location: Hourly rate on C2C: Work Authorization: Earliest Available date to start: Date and times available to interview: ===================================================================== Job Title - Lead React JS Developer - 100% Remote Location - New York, NY Job Description: At least 8 years' experience in React. Must have experience, in other JS frameworks (Angular) Should be Skilled in Javascript, should have a deep understanding of JS concepts. Should have good understanding of React Concepts, like components, hooks etc Should have experience to Integrate native modules into react Strong understanding of agile / scrums Good understanding in Firebase Good understanding of Mobx State tree / Redux (State tree management ) Setup build pipelines from scratch.(jenkins, Bitbucket pipeline ) Should know React /react native on a deeper level and how react works and how the pipelines are build. Hands-on experience on rest API/Code completion Have good understanding of Scrums/JIRA sprints ===================================================================== Job Title - Quality Assurance Lead- Topeka or Lenexa, KS (Hybrid) Location - Topeka, KS Job Description: Insurance domain knowledge Defect Tracking System (any) Experience with mostly used MS Office suites. Experience testing various software applications in in different platforms . Experience in environmental management . Good knowledge and understanding of Software Programming languages and Databases. Experience in Compatibility and non-UI based testing . Working knowledge of data integration Good understanding of SDLC and various SDLC model. Excellent written and verbal communications skills Excellent problem solving and analytical skills. Experience writing manual test cases. Experience executing manual and automated test cases ===================================================================== Job Title - GCP Data Architect - Onsite Location - Raritan, NJ Job Description: 10+ years of experience in technical solutions implementation, architecture design, evaluation, and investigation in a cloud computing environment preferably Google Experienced in integrating and migrating on-premises systems to Google cloud. Experienced in RDBMS like Oracle, MySQL and PostgreSQL Experienced in predicting and overseeing infrastructure/software upgrades. Experienced in Google Cloud Datastore, Google CloudSQL, Google Cloud Spanner, Google DataFlow. Experienced in containerization solutions (Kubernetes and Docker) and Microservices on GCP ===================================================================== Job Title - Lead Data Scientist With AI Exp - Hybrid Location - Dallas, TX Job Description: Proven experience as Lead Data Scientist / Principal Data Scientist/ Generative AI Practice Leader with a focus on AI/Client and Generative AI. Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client techniques. At least 7+ years of hands-on experience with building machine learning and AI models leveraging industry tools, products, and / or Azure cognitive services. Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data. Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation ===================================================================== Job Title - SharePoint Architect - Onsite Location - Philadelphia, PA Job Description: Proven experience working with SharePoint information architecture and user experience best practices Strong understanding of SharePoint Online functionalities (Hub sites, Global Navigation, SPFx, Search Center configuration) Experience with taxonomy development and information management principles Excellent communication and collaboration skills to work effectively with stakeholders at all levels Ability to conduct workshops and facilitate discussions Problem-solving skills and a strong analytical mind Experience with PnP Search and Search Query Text (SQK) is a plus Experience with tagging strategies and metadata management is a plus ===================================================================== Regards, Dev Venkat Recruitment Manager 201-448-4403 https://www.thedignify.com/ [email protected] 50 California Street, San Francisco, CA 94111 # For our Open Priority Requirements, please visit - Current Jobs # For any Rating/ Query/ Suggestion/ Complaint, please send email to [email protected] # If you a Bench Recruiter/ Supplier/ Employer, please enter details for Daily Direct Client Priority Requirements in Email New Dignify Supplier Keywords: artificial intelligence user interface javascript access management rlang information technology microsoft California Kansas New Jersey New York Pennsylvania Texas Immediate Closure - Direct Client Urgent Roles for 1. Lead React JS Developer 2. Quality Assurance Lead/3.GCP Data Architect 4 / Lead Data Scientist With AI Exp /5.SharePoint Architect [email protected] |
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| Fri May 31 19:20:00 UTC 2024 |