Senior Data Scientist - Artificial Intelligence / Machine Learning Apps

Job Description :

The Primary focus of this role is to develop and manage applications involved with Search Systems. Maintain and upgrade search indices for large document repositories, as well as optimizing indexing / queries and supporting analytics.

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 customers 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 customers 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 Candidate :
• PhD / MTech / BE / BTech / MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field
• 6+ 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.

(ref : hirist.tech)