Job Description

Job Title: Lead\xe2\x80\x93 Artificial Intelligence (NLP)
Reports to: Head of Artificial Intelligence
Location: PuneDuties and Responsibilities:
This role is for NLP 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 andcreate prototypes for demonstration. Strong empowerment and self-drive is a must.
Basic Qualifications:
1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative
field
2. 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive
analytics solution development and deployment
3. Strong Problem-solving ability
4. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in
RESTful, Web Services.
5. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries)
6. skills with Shell/Perl (or similar scripting language), Scala and Java
7. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc.
8. Experience with web application server like Tomcat, Jetty, JBoss etc.
9. Strong understanding of OOP design patterns and industry best practices.
10. Fair knowledge of scripting and working in Linux environment
11. Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like
React or Angular, CSS3, HTML5).
12. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience
integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB)
13. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment
14. Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr)
15. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics
technologies (Spark)
16. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer
Vision, Speech analytics and data modeling applications
17. Strong communication and data presentation skills
18. Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms.
19. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is
preferred
20. Solid knowledge in deep learning algorithms and AI system design and architecture.
21. Strong hands-on nature (ability to self-code is a must).
22. Strong capability to work on server class (cloud machines) for data science capability builds
23. Strong IT & Business interactions capability
24. Strong team player with exceptional program management.

Ciel HR