Technical Architect

curie ai

Posted: 14 days ago

Company Website
Position type
full time
Job source
24 - 36 lacs/annum
Job location

Technical Architect:


Overall 10+ Years of Experience with at least 4 years of experience as a Technical Architect primarily in Cloud Native, Web, Mobile, and AI/ML – Artificial Intelligence & Machine Learning solutions.




  • Good experience in Architectural Design, gathering Business Requirements, R&D (Research & Development), POC’s (Proof of Concepts), Agile Development model, and Technology evaluation.
  • Good exposure in the Design, Development, and Maintenance of commercial products/projects.
  • Good knowledge of AI & ML technologies like scikit-learn, NLP-Natural Language Processing, Machine Learning, Deep Learning, spaCy, Tesseract, OpenCV, NLTK, NER-Named Entity Recognition, NumPy, Pandas, Python etc.
  • Good experience on Design Models like Cloud Native, DDD (Domain Driven Design), Micro Services, Polyglot, and 2-Factor Applications.
  • Good knowledge of Hybrid Mobile Application development for Android & IOS using Cordova & Phonegap.
  • Good knowledge of Cloud based Application development using Kubernetes, Docker, Docker Cloud, AWS (Amazon Web Services), Spring Boot, and Spring Cloud.
  • Good knowledge of Elasticsearch, Redis, MongoDB, Oracle, and MySQL to develop database solutions using SQL, PL/SQL, SQLite, WebSQL, and MQL (Mongo Query Language).
  • Good knowledge of Kafka, Kong (API Gateway), Keycloak (IDAM Server), Fluentd, Filebeat, Kibana, and ActiveMQ.
  • Good knowledge of JavaEE Application Model to develop web-based solutions, using Struts Framework (Servlets, JSP, JSTL, and EL), Spring, Hibernate, JNDI, JDBC, and JavaSE.
  • Good knowledge of AWS EC2, AWS S3, AWS Batch, AWS Lambda, AWS Glue, AWS Athena, AWS Cloud Search, AWS S3 Glacier, and ....
  • Good hands-on experience on JavaScript technologies like NodeJS, ExtJS, VueJS, and JQuery.
Skills:- Django, Flask, MySQL, PostgreSQL, Machine Learning (ML), Cloud Computing, Deep Learning, NodeJS (Node.js), Natural Language Processing (NLP), Amazon Web Services (AWS), Python, Kubernetes, Docker and Microservices

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