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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..
We are looking for a skilled and motivated MERN Stack Developer to join our development team. The ideal candidate will have hands-on experience in building scalable web applications using MongoDB, Express.js, React.js, and Node.js, and a passion for writing clean, efficient, and maintainable code.
Key Responsibilities
- Design, develop, and maintain full-stack web applications using the MERN stack
- Build responsive and reusable UI components using React.js
- Develop RESTful APIs and backend services using Node.js and Express.js
- Work with MongoDB for data modeling, queries and performance optimization
- Collaborate with UI/UX designers, product managers, and other developers
- Write clean, well-documented and testable code
- Debug, troubleshoot and optimize application performance
- Participate in code reviews and follow best development practices
- Stay updated with emerging technologies and industry trends
Required Skills & Qualifications
- 1–5 years of experience in MERN stack development
- Strong proficiency in JavaScript.
- Hands-on experience with React.js, including hooks and component lifecycle
- Experience with Node.js and Express.js
- Good understanding of MongoDB and NoSQL databases
- Experience in building and consuming REST APIs
- Proficient in HTML5, CSS3, and building responsive, cross-browser user interfaces.
- Experience with Git/GitHub or other version control systems in a collaborative development environment.
- Solid understanding of authentication, authorization, and security best practices
🚀 About the Role
At VoiceOwl, we are looking for a dynamic Lead Generation / Pre-Sales Executive with strong experience in SaaS, Conversational AI, Generative AI, and Agentic AI solutions.
The ideal candidate should have hands-on experience in B2B lead generation for AI-driven or SaaS-based products and a strong ability to identify, engage, and qualify potential clients through cold outreach via LinkedIn, email, and calls.
Your primary responsibility will be to generate high-quality leads and schedule demo appointments for the sales team in the AI and automation domain.
🎯 Key Responsibilities
- Research and identify new business opportunities in industries adopting AI, Conversational AI, and automation solutions.
- Conduct targeted prospecting and cold outreach (LinkedIn, email campaigns, and calls) specifically for SaaS and AI products.
- Generate and nurture leads interested in Generative AI, Conversational AI, and Agentic AI solutions.
- Understand client pain points related to automation, AI integration, and digital transformation.
- Qualify prospects and schedule product demos for the sales team.
- Achieve weekly and monthly targets for lead generation and demo bookings.
✅ Must-Have Skills & Qualifications
- 2–4 years of experience in B2B Lead Generation / Pre-Sales in a SaaS-based or AI product company.
- Strong understanding of Conversational AI, Generative AI, Agentic AI, and automation solutions.
- Proven experience in cold outreach via LinkedIn, email campaigns, and phone calls.
- Experience targeting international markets (preferred).
⭐ Other Skills
- MBA in Marketing or equivalent degree.
- Strong communication and consultative selling skills.
- Ability to explain complex AI solutions in a simple and compelling way.
🌟 Why Join Us?
- Opportunity to work in a fast-growing AI-driven SaaS company.
- Exposure to cutting-edge technologies like Generative AI and Agentic AI systems.
- Competitive salary + performance-based incentives.
- Clear career growth path in AI sales and business development.
About the company
DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.
Job Description
Department: Risk Analytics
CTC: Max 18 Lacs
Grade: Sr Manager/AVP
Experience: Min 4 years of relevant experience
We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.
Responsibilities
- Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
- Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
- Should be able to handle multiple tasks and must know how to prioritize the work.
- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Design and build technical processes to address business issues.
- Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
- Communicate results and business impacts of insight initiatives to the Management of the company.
Requirements
- Industry knowledge
- 4 years or more of experience in financial services industry particularly retail credit industry is a must.
- Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
- Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
- Experience in portfolio monitoring, model monitoring, model calibration
- Knowledge of ECL/ Basel preferred.
- Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
- Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
- Expertise in either R or Python; SAS knowledge will be plus.
Soft skills:
- Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
- Ability to multi-task good communication and team working skills.
- Ability to manage day-to-day written and verbal communication with relevant stakeholders.
- Ability to think strategically and make changes to data when required.
.Overall 5+ years of experience in application development using Java with creating and deploying microservices using the Spring Boot framework
• Strong experience in Maven.
• Good experience in unit(Junit) and integration testing.
• Experience in Microservices is a must.
Experience in designing and developing REST based services / Microservice development.
• Candidate should have good communication skills (written and verbal)
Excellent analytical and problem solving skills
Any one of these database Mongo, Maria, RMQ, Postgres, or other NoSQL servers
• Experience in AWS and CI/CD
5+ Years
Design, develop, and maintain robust, scalable, and secure backend services and APIs.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
Write clean, efficient, and maintainable code following best practices and coding standards.
• Optimize performance and ensure high availability of backend services.
• Implement security measures to protect sensitive data and prevent vulnerabilities.
Design and manage databases, ensuring data integrity and efficient query performance.
Debug, troubleshoot, and resolve issues in production and development environments.
• Conduct code reviews and provide constructive feedback to team members.
Stay up-to-date with emerging backend technologies, frameworks, and best practices.
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimations.
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 an Executive Assistant to CEO, with excellent time, people and facility management skills.
Job location: Pune, MH (Work from Office)
Qualifications:
- Strong organizational skills that reflect ability to perform and prioritize multiple tasks seamlessly with excellent attention to detail
- Very strong interpersonal skills and the ability to build relationships with stakeholders, including staff, board members, external partners and donors
- Expert level written and verbal communication skills
- Demonstrated proactive approaches to problem-solving with strong decision-making capability
- Must have good skills in managing the general administration and facility precisely
- Highly resourceful team-player, with the ability to also be extremely effective independently
- Proven ability to handle confidential information with discretion, be adaptable to various competing demands, and demonstrate the highest level of customer/ client service and response
- Demonstrated ability to achieve high performance goals and meet deadlines in a fast paced environment
- Forward looking thinker, who actively seeks opportunities and proposes solutions
Education & Experience:
- Bachelor's degree required
- Strong work tenure: minimum 5 years of experience supporting C-Level Executives
- Proficient in Microsoft Office (Outlook, Word, Excel, and Power Point), Adobe Acrobat, and Social media platforms
About Haber
At HABER, we are solving the challenges of tomorrow, today. We are bringing together the best minds in process, engineering, computing and chemistry to develop solutions to address some of the world’s toughest challenges – water and energy scarcity and sustainability. Over the past few years there has been an explosion in unstructured data across industry driven by affordable sensing technologies and adoption of analytical instrumentation. This sudden increase in data has resulted in industries spending significant amounts of time collecting, organizing and analysing content and very little time driving value with the data. HABER is focussed on reversing this trend by helping our customers spend less time collecting and analysing data and more time using HABER’s platform to drive efficiency, identify issues before they happen and uncover hidden potential. Follow us on Twitter http://www.twitter.com/@haber_tech">@haber_tech or LinkedIn at http://www.linkedin.com/company/haber-technologies">linkedin.com/company/haber-technologies or visit us at http://www.haberwater.com/careers">haberwater.com/careers
Job responsibilities of the candidate include
- Politely speaking with customers and understanding their queries.
- Documenting customer queries in system.
- Responding to customer queries based on SOP.
- Min 12th passed
Responsibilities
- Build and mentor the computer vision team at TransPacks
- Drive to productionize algorithms (industrial level) developed through hard-core research
- Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
- Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
- Entrepreneurial and out-of-box thinking essential for a technology startup
- Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
Eligibility
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
- D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems
Requirements
- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
- Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
- Ability to understand, optimize and debug imaging algorithms
- Understating and experience in openCV library
- Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
- Understanding of engineering principles and a clear understanding of data structures and algorithms
- Experience in writing production level codes using either C++ or Java
- Experience with technologies/libraries such as python pandas, numpy, scipy
- Experience with tensorflow and scikit.









