Responsibilities :
- 10+ years of industrial experience in Search, Information retrieval, NLP, Machine learning, predictive analytics solution development and deployment
Skills :
Strong Problem-solving abilityShould have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services,Experience in using Python, R, SAS or any other statistical software (plus other open source libraries)Skills with Shell / Perl (or similar scripting language), Scala and JavaExperience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc.Experience with web application server like Tomcat, Jetty, JBoss etc.Strong understanding of OOP design patterns and industry best practices.Fair knowledge of scripting and working in Linux environmentGood to have Experience of building Solutions with latest front-end technologies (JavaScriptlibraries like React or Angular, CSS3, HTML5).
Hands-on experience of API Integration single-sign -on and token-based authentication.Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB)
Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environmentBonus Points :
Experience in any of the following area could be plus : Lucene based search engines (Elasticsearch, Solr)Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark)Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applicationsStrong communication and data presentation skillsSkills with Relational Databases, Data warehouses, Structured & Unstructured data forms.Publications / patents / presentation in recognized Machine Learning and Data Mining journals / conferences is preferredSolid knowledge in deep learning algorithms and AI system design and architecture.Strong hands-on nature (ability to self-code is a must).Strong capability to work on server class (cloud machines) for data science capability buildsStrong IT & Business interactions capabilityStrong team player with exceptional program management.(ref : hirist.tech)