- 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.

- 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

- Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.

- 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

- 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.

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

- Develops proof of concept to prove or disprove validity of concept.

- Work with cross functional team to integrate these models into larger solutions.

- Works collaboratively in a multi-disciplinary team environment

- Establishes and maintains professional networks with subject matter experts.

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

- 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.

Ideal Candidate :

- PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field

- 3+ years of industrial experience in Search, Information retrieval, NLP, Machine learning, predictive analytics solution development and deployment

- Strong Problem-solving ability

- Should 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 Java

- Experience 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 environment

Good to have :

- Experience of building Solutions with latest front-end technologies (JavaScript libraries 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 environment

- 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 applications

- Strong communication and data presentation skills

- Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms.

- Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred

- Solid 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 builds

- Strong IT & Business interactions capability

- Strong team player with exceptional program management.