Sr. Marketing Manager

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.

Job Description – Enterprise Sales Manager (B2B | EdTech | KSA & Dubai Market)

Location: Bangalore (Onsite – 5 Days Working)

Industry: EdTech | Corporate Training | Enterprise Learning Solutions

Employment Type: Full-Time

Experience: 5 – 12 Years (Enterprise B2B Sales Preferred)

Markets: KSA & Dubai (UAE) – GCC Region

About the Role

We are seeking a high-performing Enterprise Sales Manager – B2B for the EdTech & Corporate Learning domain, responsible for driving large-scale enterprise training deals across KSA and Dubai markets. This role demands CXO-level engagement, solution selling expertise, strong lead mining capability, and proven experience in RFQ / RFI driven enterprise deal closures.

The candidate will own end-to-end enterprise sales lifecycle, including lead generation, opportunity qualification, solution consulting, commercial negotiation, and contract closure for high-value learning & LMS-based digital transformation projects.

Key Responsibilities

Enterprise Sales & Revenue Growth

• Drive enterprise B2B revenue growth across KSA & Dubai markets for corporate training, certification programs, and LMS platforms.
• Manage large deal pipelines and close high-ticket multi-year contracts.
• Achieve quarterly & annual sales targets aligned with business growth plans.

RFQ, RFI & Enterprise Procurement Handling

• Own and manage RFI (Request for Information) & RFQ (Request for Quotation) processes.
• Prepare enterprise-grade proposals, technical submissions, and commercial bids.
• Work closely with delivery, product, and solution teams for customized enterprise proposals.
• Lead commercial negotiations, pricing strategy, and final deal closure.

CXO & Senior Stakeholder Engagement

• Engage with CXOs, CHROs, CLOs, L&D Heads, HR Directors, and Procurement Heads.
• Build long-term strategic relationships with enterprise clients.
• Conduct executive presentations, solution workshops, and boardroom negotiations.
• Influence strategic learning transformation decisions.

Lead Generation & Lead Mining

• Build a strong enterprise pipeline using lead mining tools and prospecting platforms.
• Hands-on experience with LinkedIn Sales Navigator, Apollo, ZoomInfo, Lusha, RocketReach, Hunter, Seamless.ai, or similar tools.
• Design account-based selling (ABS) & outbound prospecting strategies for GCC markets.
• Develop C-level contact mapping & multi-stakeholder buying group engagement.

Solution Selling – LMS & Learning Platforms

• Sell LMS / LXP platforms, digital learning ecosystems, certification programs, and enterprise learning solutions.
• Perform learning needs analysis, solution consulting, and learning architecture design.
• Position ROI-based learning solutions aligned with business transformation goals.
• Lead product demos, solution walkthroughs, and enterprise workshops.

Key Skills & Competencies (KSA & Dubai Enterprise Focus)

Enterprise Sales Skills

• Enterprise B2B Sales
• CXO-Level Engagement
• Strategic Account Management
• Large Deal Closure
• Solution Selling
• Consultative Selling
• Contract Negotiation
• Commercial Structuring
• Multi-year Contract Closures

Technical & Domain Expertise

• LMS / LXP Platforms
• Digital Learning Solutions
• Corporate Training Programs
• Professional Certification Training
• Learning & Development Consulting
• EdTech Enterprise Solutions

RFQ / RFI & Bid Management

• RFI Response Development
• RFQ Pricing Strategy
• Proposal Writing
• Bid Management
• Commercial Negotiations
• Enterprise Contracting

Lead Mining & Prospecting Tools

• LinkedIn Sales Navigator
• Apollo.io
• ZoomInfo
• Lusha
• RocketReach
• Hunter.io
• CRM Tools (Salesforce / HubSpot / Zoho)

Preferred Market Experience

• Proven experience in KSA & Dubai / GCC enterprise markets.
• Strong understanding of Middle East business culture, enterprise buying behaviour & procurement cycles.
• Experience selling corporate training & digital learning solutions to large enterprises, government, and semi-government entities.

Candidate Profile

• 5 – 12 years of experience in Enterprise B2B Sales (EdTech / SaaS / IT Services / Corporate Training).
• Proven track record in closing high-value enterprise deals.
• Strong CXO presence, executive communication & negotiation skills.
• Ability to manage long sales cycles & complex buying processes.
• Strategic thinker with hunter mindset and consultative approach.

KPIs & Performance Metrics

• Quarterly Revenue Targets
• Enterprise Pipeline Value
• RFQ / RFI Conversion Ratio
• Deal Closure Rate
• Average Deal Size
• Client Retention & Expansion

Work Mode & Benefits

• Work Mode: Onsite – Bangalore
• Working Days: 5 Days (Monday – Friday)
• Compensation: Best in Industry + High Performance Incentives
• Travel: GCC Market Travel (KSA & UAE)

Job Description

What does a successful Senior DevOps Engineer do at Fiserv?

This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.

What will you do:

• Build, manage, and deploy CI/CD pipelines.

• DevOps Engineer - Helm Chart, Rundesk, Openshift

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.

• Implementing various development, testing, automation tools, and IT infrastructure

• Optimize and automate release/development cycles and processes.

• Be part of and help promote our DevOps culture.

• Identify and implement continuous improvements to the development practice

What you must have:

• 3+ years of experience in devops with hands-on experience in the following:

- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks

- Building docker images and running/managing docker instances

- Building Jenkins pipelines using groovy scripts

- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes

• Has good understanding on infrastructure as code

• Ability to write and update documentation

• Demonstrate a logical, process orientated approach to problems and troubleshooting

• Ability to collaborate with multi development teams

What you are preferred to have:

• 8+ years of development experience

• Jenkins administration experience

• Hands-on experience in building and deploying helm charts

Process Skills:

• Should have worked in Agile Project

Behavioral Skills :

• Good Communication skills

Skills

PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100

• Designation: MAC and iOS Developer
• No of Vacancy: 2
• Reporting To:  CTO
• Permanent Remote Job 
• Work Experience: 2 to 4 years of experience in MAC OS and iOS Development
• Educational Qualification: Graduate in IT & above
  
  

Required Skills:

• Experience in creating applications for Mac OS X and iOS Applications
• Excellent in Objective-C and Swift
• Exposure working with C++ programming language for Mac application
• Integrate apps with authentication APIs
• Proficient understanding of code versioning tools like GitHub, firebase and Xcode so on.

Job Description:

• Execute full software development life cycle (SDLC)
• Develop flowcharts, layouts and documentation to identify requirements and solutions
• Write well-designed, testable code
• Produce specifications and determine operational feasibility
• Integrate software components into a fully functional software system
• Develop software verification plans and quality assurance procedures
• Document and maintain software functionality
• Troubleshoot, debug and upgrade existing systems
• Deploy programs and evaluate user feedback
• Comply with project plans and industry standards
• Ensure software is updated with latest features

Job Description

 Responsibilities

• Develop Python Based API’s using FastAPI and Flask frameworks.
• Implementation of workflow using Apache airflow or similar tools.
• Follow and enforce organization defined SDLC within the offshore team.
•  Writing and modifying Docker files for the back end and Front-End Components.
• Integrate CI/CD pipelines for Automation and Code quality checks.
• Writing complex ORM mappings using SQLAlchemy.
• Unit testing using pytest, unittest etc.

Required Skills:

• Strong experience in Python and python-based technologies and frameworks including Flask, Fastapi, SQLAlchemy.
• Experience with AWS services like ECS, S3, ECR, Secrets manager, RDS, ELB, API Gateway, Cloudwatch logs, SNS, SQS, SES, Elastic Cache.
• Strong knowledge of SQL, comfortable working with MySQL and/or PostgreSQL databases, writing raw SQL queries.
• Experience of using ORM frameworks like SQLAlchemy.
• Experience integrating 3rd party APIs.
• Strong understanding of OAuth protocol.
• Experience working with docker and dockerfile.
• Understanding of microservices pattern and architecture.
• Experience with Git, GitFlow, code review process.
• Must enjoy problem solving, have excellent communication skills and be a good team player.

Good To Have:

• Develop Front End Components using VueJS and ReactJS.
• Familiarity with pipeline deployment process, Terraform scripts.
• Familiarity with Sumologic.
• Familiarity with Data warehouse tools like Snowflake.

LogiNext is looking for a technically savvy and passionate QA Lead to cater to the testing efforts in the domain of manual testing. You will help the team in building an awesome manual platform from scratch and test the product for quality & stability.

You should have hands-on experience in testing and writing test case to develop and execute exploratory tests in order to ensure product quality. You will have to estimate, plan, and coordinate testing activities. You will also have to ensure that quality issues and defects are appropriately identified, documented, tracked, and resolved in our defect tracking system. You should have strong inter-personal and communication skills.

Responsibilities:

• Design, implement & execute the test cases for product features
• Identify, record & track the bugs or enhancements early in the release life cycle
• Create detailed, comprehensive and well-structured test plans and test cases
• Perform thorough regression testing when bugs are resolved and support testing quick patches to production
• Review requirements specifications and technical design documents to provide timely and meaningful feedback
• Create repeatability in testing that enables and validates high quality releases
• Identify functional/non-functional issues and come up with scalable resolutions
• Engage actively with cross functional teams to enable timely delivery through good planning, proactive communication and timely execution
•  

Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of relevant experience in the testing domain for SaaS products
• Hands-on experience in non-functional testing skills like Load Testing, Performance Testing and Security Testing
• Experience in testing APIs, web and mobile applications
• Experience in automation of web and mobile platforms
• Experience in working on Linux/Unix environment
• Knowledge of DevOps is an added advantage
• Understanding of Software Development (preferably Java) and Continuous Integration Systems
• Experience with testing on AWS environments
• Experience of working in Agile Environment
• Excellent written and oral communication skills, judgment and decision making skills, and the ability to work under continual deadline pressure

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

Hi All,

5- 12 years of experience designing and developing web applications and REST APIs (using MEAN/Nodejs or similar stacks). Specifically,

- Prior experience designing/developing Single Page WebApps and REST APIs from prototypes

- Ability to design API as per REST standards along with a good understanding of API security (Auth headers etc) and HTTP protocol

- Experience leading 1-2 engineers (mainly interns) in guiding them to complete web apps. 

- Demonstrates curiosity and strong ownership of deliverables.

Work Location: Bangalore

Mode: Work from Office

www.goneutrinos.com

Regards

Team-HR