Entrepreneur In Residence

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

JOB DESCRIPTION

Job Title:

Data Scientist – Graph & Analytics

Location:

Pune, Maharashtra

Work Mode:

Work from Office – 5 Days a Week

Experience:

3–5 Years

Employment Type:

Full-Time

Education:

B.E. / B.Tech in Computer Science, IT, Statistics, or related field

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Position Responsibilities :

Job Description

We are seeking a highly motivated c to join our Infrastructure team. This is a hands-on role for someone who enjoys day-to-day infrastructure operations (servers, storage, tickets) and is passionate about transforming manual processes into intelligent, automated workflows using GenAI and modern automation platforms.

The ideal candidate has a strong engineering and scripting background, thrives in collaborative environments, and is excited to work closely with infrastructure engineers and team leads to understand how work gets done today—and then automate it.

This role blends traditional infrastructure operations with next‑generation automation, making it ideal for someone who wants to shape the future of infrastructure operations using platforms such as Power Platform, Tines, and GenAI tools (e.g., Claude).

Key Responsibilities

Infrastructure Operations (Core)

• Perform day-to-day infrastructure operations, including:
• Server provisioning and builds (Windows/Linux)
• Storage administration and lifecycle tasks
• Incident, request, and problem tickets via ITSM platforms
• Support operational hygiene such as patching, compliance checks, renewals, and standard infra maintenance
• Participate in on-call rotations and operational escalations as required

Automation & GenAI Enablement (Primary Focus)

• Identify repetitive, manual, or error-prone infrastructure processes and automate them end-to-end
• Work directly with infrastructure engineers, SMEs, and team leads to:
• Understand current-state processes
• Map workflows and decision points
• Translate them into automated and AI-assisted solutions
• Design and build automation using:
• Microsoft Power Platform (Power Automate, Logic Apps, Copilot Studio)
• Tines for event-driven and security/infrastructure workflows
• GenAI tools (e.g., Claude, Copilot) for decision support, ticket enrichment, summarization, and remediation logic
• Integrate automation with infrastructure and ITSM tools (ServiceNow, scripting engines, APIs, schedulers)

Engineering & Scripting

• Develop and maintain scripts and automation using:
• PowerShell (primary)
• Python, Bash, or similar languages (as applicable)
• Build reusable automation components, libraries, and templates
• Implement guardrails, logging, error handling, and rollback mechanisms
• Create documentation, runbooks, and knowledge articles for automated workflows

Collaboration & Continuous Improvement

• Partner with cross-functional teams (server, storage, network, security, endpoint) to standardize and automate shared workflows
• Continuously look for opportunities to apply AI for:
• Ticket triage and enrichment
• Root cause analysis
• Compliance drift detection
• Infrastructure lifecycle insights
• Track and communicate automation outcomes (time saved, risk reduced, ticket volume decreased)

Required Qualifications

• 5+ years of experience in infrastructure operations (servers, storage, virtualization, or cloud)
• Strong scripting and automation skills (PowerShell required; Python preferred)
• Hands-on experience with infrastructure workflows such as provisioning, patching, compliance, and lifecycle management
• Demonstrated ability to analyze processes and convert them into automated solutions
• Experience working directly with engineers and technical stakeholders to improve operational processes
• Comfort using APIs, webhooks, and integrating multiple systems

Preferred Qualifications

• Experience with Power Platform, Logic Apps, or similar low-code automation tools
• Experience with Tines or comparable orchestration platforms
• Hands-on exposure to GenAI tools (Claude, Copilot, or equivalent) for operational automation or engineering productivity
• Familiarity with ITSM tools (ServiceNow preferred)
• Experience in hybrid environments (on‑prem + cloud)
• Strong documentation and communication skills

What Success Looks Like

• Manual infrastructure tasks are replaced with reliable, observable automation
• Engineers spend less time on repetitive work and more time on high-value engineering
• Incidents and tickets are enriched, routed, or resolved faster through AI-assisted workflows
• Infrastructure processes are consistent, scalable, and easier to operate

Job Description: .Net Developer (Software Engineer)

Location: Customer Location – Mumbai (Lower Parel) Work Arrangement: Work from Office Availability: Immediate joiners only

Experience:

- Minimum 3+ years of overall experience in software development -

At least 2+ years of experience with .Net Frameworks and .Net Core (mandatory)

Technical Skills - Mandatory - Proficiency in OOP concepts and C# - Good database management skills - Experience with solving complex problems - Familiarity with handling production issues

Preferred Skills - Nice to have: - Knowledge of AWS or other cloud platforms

Attributes: - Net Frameworks and .Net Core (Rating: 4/5) - Strong problem-solving skills (Rating: 3/5) - Excellent communication skills (Rating: 3/5) - Positive attitude, professionalism, work ethic (Rating: 4/5)

Key Responsibilities: - Develop and maintain .Net applications - Collaborate with cross-functional teams - Troubleshoot and resolve production issues - Build bug-free code and ensure high code quality and continuously improve code quality and performance

Qualifications: - BSc or BE on IT, Computer Science, Engineering, or a related field 

Job Requirements:       

·        Bachelor’s degree (minimum) in Computer Science or Engineering.

·        Minimum 5 years of experience working as a senior–level Software Engineer

·        Excellent programming and debugging skills in RoR and Python

·        Experience in web development and automation

·        Experience developing on Windows and Linux systems 

Although not required, the following are a plus: 

·        Experience working with Build scripts, Shell scripts, Makefiles

·        Experience with Jenkins and other CI/CD tools

·        Knowledge of RESTful web services and docker

Role

• Work as part of a small team to build React Native iOS / Android applications.
• Design, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Integrate third-party API's.
• Developing new user-facing features using React Native.
• Building reusable components and front-end libraries for future use
• Translating designs and wire-frames into high-quality code
• Optimising components for maximum performance across a vast array of android and ios devices.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.

Skills

• Strong proficiency in React Js, React Native, JavaScript, TypeScript, Object Oriented Programming - 2+ years of professional experience working with React Native
• Deep knowledge of component state management experience (specifically in React Native)
• Familiarity with native build tools, like XCode, Gradle
• Good understanding of Redux
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of React Native applications.
• Ability to understand business requirements and translate them into technical requirements
• A knack for bench-marking and optimisation

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering