Management Trainee - Sales

About Us

We are the sole distributors and service providers in India for world-class construction equipment imported from top international companies such as GEDA, MEP Italy, TSS, YHX, and more.

We offer sale, rental, and buy-back of equipment related to vertical logistics and rebar processing machines.

Job Description

• Run and manage digital marketing channels, including PPC, SEO, email marketing, and social media platforms (Facebook, Instagram, LinkedIn, YouTube, etc.).
• Create and post engaging content on social media to increase brand awareness and engagement.
• Handle and update product listings on e-commerce platforms.
• Manage and monitor company websites and updates using Elementor Pro and WordPress.
• Collaborate with the team to write content for websites, blogs, articles, videos, and more.
• Develop SEO strategies to increase organic traffic and search engine rankings.
• Use design tools like Canva or Adobe Creative Suite to create graphics and video content.
• Track and report on campaign performance and suggest improvements based on data analysis.
• Stay updated with the latest digital marketing trends, industry updates, and technologies.

Qualifications

• Bachelor’s degree in Marketing, Communications, Business, or related field.
• Proficiency in digital marketing tools and analytics platforms such as Google Analytics, Google Search Console, Google Ads, and Facebook Ads Manager.

Skills Required

• 2–6 years of proven experience as a Digital Marketing Executive or similar role.
• Strong written and verbal communication skills.
• Creativity and out-of-the-box thinking.
• Analytical mindset and ability to interpret data.
• Time management and ability to meet deadlines.
• Adaptability to trends and algorithm changes.
• Team collaboration and coordination with design/content/sales teams.

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.

Experience: 8-12 years

Location: Bangalore

Wissen Technology is now hiring for a Senior Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 8-12 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Us:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide.

Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. 

We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. 

Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Whether it’s AI/ML for unstructured data processing, cloud enablement, or data engineering, Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our proprietary Interview Ninja platform ensures we hire the best, building high-performing teams that deliver unmatched results. 

Today, Wissen Technology has a global footprint with 2200+ employees across offices in the US, UK, UAE, India, and Australia. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Website : www.wissen.com 

What are we looking for?

• Strong interpersonal, communication, and persuasion skills.
• Interest in sales and client management within a fast-paced setup.
• Strong problem-solving skills to address and resolve client concerns.
• Ability to multitask and handle multiple client accounts effectively.
• Minimum 1 Year of experience in telecalling, client success, or B2B servicing roles
• Based in Bangalore 

What will you be doing?

• Manage a portfolio of Travel Agents and ensure consistent engagement.
• Drive re-application cycles by tracking demand patterns, renewal triggers, and client usage behaviour.
• Build and execute retention strategies for high-value & high-frequency clients.
• Lead resurrection initiatives to revive inactive or low-engagement accounts.
• Maintain dashboards, performance trackers, and portfolio analytics.
• Collaborate with operations and business teams to ensure seamless service delivery.
• Resolve escalations and strengthen long-term client relationships.

Experience and Required Skill Sets: 

1      Solid experience in software design and development using Microsoft ASP.NET framework, C#, Visual Studio, and in writing clean, readable, and easily maintainable code

2      5+ years of experience in WCF, WPF, VB.NET, SQL Server, JQuery, Angular 10 and above.

3      5+ years of experience in developing highly scalable REST/Web APIs

4      5+ years of experience in developing highly efficient SQL/NoSQL Queries

5      5+ years of experience in Relational and Document databases

6      Strong understanding of object-oriented programming and possess strong fundamental design principles for building a scalable application.

7      Experience in using the MVC framework, working knowledge in APIs, and Service Oriented Architecture

8      Strong understanding of object-oriented programming and possess strong fundamental design principles for building a scalable application.

9      Experience in Angular version 10 and above is required 

10   Expert in SQL programming & Database Design (Stored procedure, Function, Trigger, Constraints, Replication) 

11   Strong ability in HTML and JavaScript (AJAX, DOM)

12   Development experience with data integration technologies including REST, SOAP, JSON, XML

13   Expertise in programming and usage of any unit testing framework. Expertise in integration testing and continuous integration.

14   Experience working in a DevOps environment will be an added advantage.

Responsibilities: 

•       Ability to create complex, enterprise-transforming applications that meet and exceed client expectations. 

•       Responsible for the bottom line. Strong project management abilities. Ability to encourage the team to stick to timelines.

•       Follow best-in-class coding practices and review the solutions vis-à-vis the requirements and technical specifications.

•       Should demonstrate strong client interfacing capabilities like emails and calls with clients in the US/UK

3 to 7 years of Overall testing experience.

 Test Automation Experience with the tool Selenium or Katalon.

 Should have experience in Test Automation Framework like TestNG and Cucumber

Framework.

 Able to manage test activities in medium to large projects.

 Demonstrates appropriate interpersonal skills required to establish effective working

relationships with clients and/or business partners.

 Should be familiar with the Software Testing tools, techniques and market trends.

 Should review user and functional requirements and provide feedback; they will

Informally test early versions of functionality and develop increasingly complete test

scripts and traceability.

 Participate in test execution and monitor the progress of execution.

 Proactively engage with all team members including developers, business users and

business analysts.

 Writes, reviews and executes formal test scripts including setup and data

requirements, procedures and expected results

 Able to provide direct input to project estimates and documentation (Project Plan

document, URS, FRS, Design docs)

 Reviews project requirements, plans and prototypes and providing input.

 Agile/ Scrum experience.

 Katalon Tool knowledge is preferable.

 Clinical domain knowledge is preferable.

• Owning Fintech Fraud Risk products across account opening and account and activity monitoring
• Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
• Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
• Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
• Driving Proof of Concepts and Demos to illustrate the company's capabilities
• Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
• Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
• Validating supply partnerships to be used in solutioning, where needed
• Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops

Desired Candidate Profile

• 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
• Career concentration in Fintechs, Payments or Risk Service Providers
• Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
• Bachelor’s degree or higher, preferably in Maths, Statistics or an area of Technology
• Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
• Strong organizational, communication, presentation and project management skills
• Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
• Experience in experimentation and A/B testing a plus
• Strong sense of product design and customer empathy    

What you’ll do

• Deliver plugins for our Python-based ETL pipelines.
• Deliver Python microservices for provisioning and managing cloud infrastructure.
• Implement algorithms to analyse large data sets.
• Draft design documents that translate requirements into code.
• Deal with challenges associated with handling large volumes of data.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses AWS and Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship.

What we’re looking for

• Experience in Python 3.
• Python libraries used for data (such as pandas, numpy).
• AWS.
• Elasticsearch.
• Performance tuning.
• Object Oriented Design and Modelling.
• Delivering complex software, ideally in a FinTech setting.
• CI/CD tools.
• Knowledge of design patterns.
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.

About SteelEye Culture

• Work from home until you are vaccinated against COVID-19
• Top of the line health insurance • Order discounted meals every day from a dedicated portal
• Fair and simple salary structure
• 30+ holidays in a year
• Fresh fruits every day
• Centrally located. 5 mins to the nearest metro station (MG Road)
• Measured on output and not input