Marketing Strategist

The Web 3 & Blockchain Innovation Lab plays a pivotal role in leading the lab strategic vision and

operational excellence, fostering a culture of innovation and learning by doing among students.

This individual is responsible for setting the lab strategic direction, managing a team of stream

leaders, and ensuring the lab success in bridging the gap between academia and industry. As a

thought leader and brand ambassador, the Head of the lab promotes the lab focus areas both

internally and externally, embodying the qualities of leadership and innovation that inspire

students and staff alike.

Key Responsibilities:

* Vision and Strategy:

* Develop and communicate a clear vision for the Innovation Labs, aligning with

* the institution strategic objectives.

* Set strategic goals for the lab, including defining key areas of focus, innovation

    strategies, and research priorities.

* Ensure the lab activities contribute to the broader academic and research

   missions of the institution.

Innovation Lab - Industry Interface:

* Build and maintain strong relationships with industry partners, facilitating collaborations that enhance the lab's research and innovation projects.

* Serve as a key liaison between the lab and academic departments, promoting interdisciplinary industry relevant research and learning opportunities.

* Lead initiatives to secure funding, sponsorship, and partnerships that support the lab's activities and growth.

* Brand Ambassador and Thought Leadership:

* Act as a brand ambassador and thought leader, representing the Innovation Labs at conferences, seminars, and public forums.

* Promote the lab's achievements and projects through various channels, enhancing its reputation and visibility.

* Foster a network of alumni, industry leaders, and academic peers to support and engage with the lab's work.

Mentorship and Role Modeling:

* Serve as a mentor and role model for students and mentors, inspiring them to pursue innovation and excellence.

* Encourage the development of leadership skills among lab members, particularly stream leaders and emerging talents.

* Support a learning environment that values diversity, inclusivity, and personal growth.

Skills and Qualifications :

* Advanced degree in a relevant field (e.g., Engineering, Computer Science, Business Administration) or equivalent experience in innovation management.

* Proven leadership experience in managing research or innovation labs, particularly in an academic or similar setting.

* Deep technical expertise in multiple blockchain platforms, smart contracts, DeFi & dApps, Web 3 libraries/frameworks and cryptography. Should be able to demonstrate a deep understanding of the benefits decentralization.

* Strong strategic thinking and planning skills, with the ability to translate vision into actionable plans.

* Excellent relationship-building skills, with experience in academia-industry partnerships.

* Demonstrated success in securing funding, sponsorships, or partnerships.

* Exceptional communication and public speaking skills, capable of engaging a wide range of audiences.

* Deep understanding of the latest trends and technologies in areas relevant to the lab's focus..

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

We are looking for a Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.

• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection strategies like circuit breaker, rate limiting.
• Integration of data storage solutions like OLTP(RDS, Postgres), OLAP(Redshift) and Cache(redis, memcache) servers with applications.
• End to end responsibility from development to production.
• Ability to work in odd hours in-case of emergencies.
• Well aware of server-less, containers and microservices technologies(like Lambda, Fargate, ECS, EKS).

• Experience 1.5+ yrs in the Software Industry.
• Mastery in Python with knowledge of at least one Python web framework (such as Django, Flask) with amazing debugging skills.
• Familiarity with some ORM (Object Relational Mapper) and caching libraries
• Understanding of the threading limitations of Python, and multi-process architecture
• Good understanding of server-side templating languages such as Jinja 2, Mako
• Basic understanding of front-end technologies, such as Jquery, JavaScript, HTML5, and CSS3
• Understanding of accessibility and security compliance
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of fundamental design principles behind a scalable application
• Familiarity with event-driven programming in Python
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
• Able to create extendible database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools such as Git or SVN
• Make sure to mention other frameworks, libraries, or any other technology related to your development stack

• Hands on Java experience with minimum 8 yrs. More experience is a plus but need to be hands on.
• Server side programming experience with technologies: Spring, Hibernate & Swing is a plus
• Good DB knowledge, hands on PL/SQL or T-SQL
• Experienced to work on Linux, git, IntelliJ, Eclipse
• Experience of designing and developing end-to-end solutions.

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality