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