Sr UI UX Designer

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.

Proficiency in Tailwind CSS for development.

Experience in troubleshooting and debugging frontend applications.

Solid understanding and hands-on experience with either Angular or React.

Strong communication skills with the ability to collaborate effectively within a team.

A keen eye for detail and a passion for creating seamless user experiences.

Position: catalogue design Coordinator

Experience: 3+ years

Salary: 30-40k

Industry: Interior/ Architect

Location: Paharganj, delhi

We are a leading manufacturer of decorative laminates, offering innovative and stylish surface solutions for interior spaces. Our catalogues are a vital tool in showcasing our collections to designers, architects, dealers, and end-users.

We are seeking a highly organized and detail-oriented Catalogue Design Coordinator to lead the development and execution of product catalogues for our laminate brand. This role will coordinate the entire catalogue lifecycle with multiple stakeholders—from initial planning, product selection and presentation to design, production, and distribution. Along with catalogue, the coordinator will also handle other design workflows such as exhibitions, collaterals, adverts etc.

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• In collaboration with the design agency and the top management - Create visually appealing catalogues showcasing the company’s laminate collections. Plan and manage the catalogue project timeline, ensuring deadlines are met at every stage
• Act as the primary point of contact for all stakeholders involved in catalogue creation (designers, printers, writers, production, and marketing teams)
• Liaise with design agencies and printing vendors to obtain quotes, manage proofs, oversee quality checks, track progress and ensure timely delivery
• Analyze sale data of the current SKUs to identify design trends and suggest which designs should be discontinued and which patterns should be focused.
• Conduct research for competitive analysis pertaining to catalogues of other brands in the market
• Stay updated on design trends and market preferences by doing market research to collect information on the latest designs in the veneer / furniture / wallpaper / other such markets (may be required to travel to this end)
• On the basis of the above, recommend décor papers and texture finishes to add in the product range
• Maintain various types of records pertaining to catalogue inventory, consumption, and purchase
• Reconcile designer vendor accounts
• Coordinate with factory and designer vendor to design all company pamphlets, standees, signages, notepads, stationeries and any other such products / communications

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The Candidate should :

1. Have 3-6 yrs of experience in managing interior design / décor / furniture designing activities or experience related to designing in surfaces solution industries (such as laminate, acrylic, pvc, tiles, wallpaper, etc)

2. Have strong organizational skills and attention to detail

3. Have experience in handling multiple projects at the same time

4. Be comfortable with written English

Women will be preferred for this role.

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Min. college graduate (applicants with design related degrees / colleges will be preferred)

Experience with using Microsoft Office (Power point, Word, Excel etc.) required

Designing experience with using Photoshop, Spark, CorelDRAW will be given advantage

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 97 43

Job Description:

We are looking for a dynamic and results-driven Business Development Executive to join our growing team. The ideal candidate should have 1–2 years of experience in IT sales or service-based sales, with excellent communication and client-handling skills.

Key Responsibilities:

• Identify and generate new business leads through various platforms
• Pitch services to potential clients and follow up to close deals
• Maintain strong relationships with existing clients
• Prepare proposals and presentations for client meetings
• Collaborate with internal teams to ensure smooth delivery

Requirements:

• Bachelor’s degree in Business, Marketing, or related field
• 1–2 years of proven experience in business development/sales
• Excellent verbal and written communication skills
• Strong negotiation and interpersonal skills
• Familiarity with LinkedIn, Upwork, Freelancer, or other platforms is a plus

Perks:

• Performance-based incentives
• Growth-oriented work environment
• Training and mentorship opportunities

Requirements:

• Strong in data structure and algorithms.
• Experience in Node.js, Express, API Design & DOM.
• Understanding of component based design or other design patterns.
• Experience with unit testing, integration testing & continuous integration.
• RDBMS and NoSQL databases preferably PostgreSQL, MongoDB.
• Good to have passion for investing.

🚀 Job Title: Institutional SaaS Sales Manager – Higher Education

Location: Hyderabad (India) | Travel as needed

Company: Ixyle AI – www.ixyle.ai

Industry: AI, SaaS, EdTech

Compensation: ₹25K–₹50K Fixed + ₹50K/deal + 5% Revenue Share + Quarterly Bonus

🧠 About Us

Ixyle AI is a next-gen SaaS platform using Generative AI to transform higher education assessments and student placements. We power real-time, video-based AI interviews, personalized student feedback, and performance analytics for colleges and universities.

We’re already working with government and public sector institutions and scaling fast across the private sector.

🎯 Your Mission

You will own and drive SaaS sales in the higher education sector. This is a high-performance role focused purely on institutional revenue generation and onboarding colleges/universities for our flagship product.

✅ Who You Are

We’re looking for someone who has:

• ✅ 3–7 years experience in SaaS-based B2B or B2I (Business-to-Institution) sales
• ✅ Proven history of closing deals with higher education institutions (minimum 10+ colleges/universities closed)
• ✅ Past role in EdTech/HRTech/SaaS companies like Classplus, CollegeDekho, iON, LeadSquared, Harappa, Leverage Edu, UpGrad Campus, etc.
• ✅ Clear understanding of college buying cycles, stakeholders (TPOs, Directors, Deans), and decision-making processes
• ✅ Demonstrated revenue achievement (attach proof/case studies in application)
• ✅ Strong communication, negotiation, and pipeline closing abilities

💼 Key Responsibilities

• Own the full sales cycle: lead generation → demo → pitch → proposal → contract → closure
• Execute deal-winning pitches to TPOs, HODs, Directors & Management
• Manage pipeline and follow-ups through CRM
• Generate revenue from colleges, universities, and training institutions
• Travel as needed (with expense reimbursement) for campus-level closing

💰 Compensation Structure

🔹 Phase 1 – 30-Day Performance Trial

• Fixed: ₹25,000/month
• Incentive: ₹50,000 per institution closed
• Goal: Close 1 institution in first 30 days

🔹 Phase 2 – Full Role

• Fixed Salary: ₹50,000/month
• Commission: 5% of net revenue on each deal
• Quarterly Performance Bonus: ₹50,000 minimum on target achievement

💸 Top closers can earn ₹12–15L per annum or more

🔍 Must Include in Application

• CV + LinkedIn Profile
• List of colleges/institutions closed
• Deal sizes and revenue outcomes (confidentiality respected)

🚫 Do Not Apply If You:

• Lack experience in institutional SaaS sales
• Have never closed a paid college/university deal
• Are not revenue-obsessed
• Require daily push or micro-management

📩 Apply Now

Subject: “SaaS Sales Manager – [Your name]

Java - SSE/ Senior Developer

Singapore

Company Profile: Nucleus Software has been providing Products and Services to various Global and Regional Financial institutions, from past 36 years. As a pioneer IT Service provider, Nucleus carry deep banking domain expertise and experience on latest technological trends. Nucleus’s developed platforms powers the operations of more than 150 institutions in 50 countries, supporting multiple business veritcals, accessible through Mobile and internet channels

JOB ROLE & RESPONSIBILITIES

• Develop & support application through all stages of the project life cycle, including Design, Construction, Testing support and Warranty support
  
  
• Having experience in Java 1.6 and above, JEE, Spring, Struts,microservices ORM and Oracle.
  
  
• Good understanding of Design Principles and Object-Oriented Programming
  
  
• Develop Low level design documents
  
  
• Responsible for Coding, Developing Test cases using Junits, Unit Testing
  
  
• Adhering the schedule and scope of the project
  
  
• Ensure to follow the Technology and Process standards set for the project
  
  
• Produce high quality technical delivering for the customer
  
  
• Interact with project lead to review technical deliverables
  
  
  

Key deliverables

• Design and Develop Programs with high quality and agreed processes, within the planned schedule
  
  
• Review Unit Test Cases with Project Lead
  
  
• Design, Develop and Unit Test
  
  
• Technical Design documents (LLD)
  
  
• Support throughout testing, implementation and warranty phases
  
  

Desired for the Position:

• Hands on experience in Designing and Developing web applications using Java EE platforms (Spring, Struts, EJB), ORM and Oracle Database)
  
  
• Strong background of Object-oriented analysis and design using common design patterns
  
  
• Profound insight of Java and JEE internals (Class loading, Memory Management, Transaction management etc)
  
  
• Good knowledge of Relational Databases (Oracle) and PL/SQL
  
  
• Carries good analytical and communication skills

Location: Base: Chennai , Bangalore and Noida, Projects-Singapore

Package: upto 17 L

Experience: 5 yrs

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server