Data Scientist/Senior Data Scientist Artificial Intelligence/Machine Learning

Job description

<p>Job Description :</p><p><br/></p><p>Role & Responsibilities :<br/><br/>- The Primary focus of this role is to develop and manage applications involved with Search Systems.

</p><p><br/></p><p>- Maintain and upgrade search indices for large document repositories, as well as optimizing indexing/queries and supporting analytics.

</p><p><br/></p><p>- He will be leading a Team of search engineers who build Tags, taxonomy, Thesaurus and ontology data models and standard to define and organize our customer's search experience.<br/><br/>- Drive and coordinate cross-functional projects with broad range of Loan, Insurance and investment products owners, engineers, designers and other groups that may include architecting new data solutions<br/><br/>- Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.

</p><p><br/></p><p>- Collaborate and consult directly with key stakeholders, technical teams and leadership on solutions for taxonomy and metadata that will positively impact the customer's search experience<br/><br/>- Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality This role is for machine learning and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills.

</p><p><br/></p><p>- Technical Interactions with vendor or partners in technical capacity for business/capability deliverables.

</p><p><br/></p><p>- Develops proof of concept to prove or disprove validity of concept.

</p><p><br/></p><p>- Work with cross functional team to integrate these models into larger solutions.

</p><p><br/></p><p>- Works collaboratively in a multi-disciplinary team environment</p><p><br/></p><p>- Establishes and maintains professional networks with subject matter experts.

</p><p><br/></p><p>- Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML.

</p><p><br/></p><p>- Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration.

Strong empowerment and self-drive is a must.</p><p><br/>Ideal Candidate :<br/><br/>- PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field<br/><br/>- 3+ years of industrial experience in Search, Information retrieval, NLP, Machine learning, predictive analytics solution development and deployment<br/><br/>- Strong Problem-solving ability<br/><br/>- Should have strong experience in anyone or more programming languages Python or JAVA.

Experience in RESTful, Web Services<br/><br/>- 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 Java<br/><br/>- Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc.<br/><br/>- Experience with web application server like Tomcat, Jetty, JBoss etc.<br/><br/>- Strong understanding of OOP design patterns and industry best practices.<br/><br/>- Fair knowledge of scripting and working in Linux environment<br/><br/></p><p>Good to have :</p><p><br/></p><p>- Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5).<br/><br/>- Hands-on experience of API Integration single-sign -on and token-based authentication.

</p><p><br/></p><p>- Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB)<br/><br/>- Good understanding of DevOps pipeline like Azure Devops.

Experience in Agile environment<br/><br/>- Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr)<br/><br/>- Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark)<br/><br/>- Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications<br/><br/>- Strong communication and data presentation skills<br/><br/>- Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms.<br/><br/>- Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred<br/><br/>- Solid knowledge in deep learning algorithms and AI system design and architecture.<br/><br/>- Strong hands-on nature (ability to self-code is a must).<br/><br/>- Strong capability to work on server class (cloud machines) for data science capability builds<br/><br/>- Strong IT & Business interactions capability<br/><br/>- Strong team player with exceptional program management.</p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations