Data AnalyticsImmediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts
Shubham Vishwakarma
Full Stack Developer - Averlon
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Data Science
Machine Learning (ML)Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
2
Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
3
Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
4
Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
5
Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
6
Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.
7
Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.
8
Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.
9
Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.
10
Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
11
Mandatory (Age) - Candidate's Age should be below 37 years.
12
Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
13
Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.
14
Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.
15
Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.
About the role
We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
Responsibilities
- Build and iterate on prompt pipelines and multi-agent workflow components
- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
- Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
- Debug and maintain pipeline stages in production
What you bring:
- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
- Comfort with Git, REST APIs, and working in a Linux environment
- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
Preferred
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS
Procurement of Raw material.
Searching Vendors
Strong Negotiation Skills
Understanding of client need
should be a machenical engineer
🧭 VP – Sales Framework
1. Job Description (JD)
Designation: Vice President – Sales
Department: Sales & Marketing
Reports To: Directors
Purpose:
To lead and drive the organisation’s revenue generation, sales strategy, and market
positioning across all real-estate projects. The VP – Sales is accountable for building a
high-performance in-house sales engine, nurturing a strong channel partner network, and
ensuring optimal sales velocity with a 70:30 ratio between direct and channel sales. The role
requires balancing strategic oversight with hands-on execution — from market mapping and
budgeting to team leadership, compliance, and brand representation.
2. Key Responsibility Areas (KRAs)
KRA Description Key Deliverables / KPIs
1. Sales Strategy &
Revenue
Achievement
Design and implement sales
plans to achieve quarterly and
annual targets for all projects.
Maintain 70:30 Direct vs Channel
Sales ratio.
Achieve ≥ 25 sales at launch and
≥ 6 sales per quarter post-launch-
Maintain approved sales ratio
(variation only with Director
approval)
2. Team Building &
Leadership
Recruit, train and lead a
complete in-house sales
ecosystem (Marketing,
Pre-Sales, Closures, CRM).
Team hiring completed within plan
timelines- ≥ 80% staff target
achievement- Attrition < 10%
3. Channel Partner
Network
Development
Identify and onboard
RERA-registered channel
partners; maintain strong
relationships to drive sales.
Number of active partners ≥ 50
per project- Channel sales closure
contribution ≤ 30% of total saleMarket
Intelligence &
Positioning
Conduct competitive project
analysis and define pricing, USP
and marketing narrative.
Quarterly market mapping report-
Price positioning and sales velocity
alignment with market data
5. Marketing &
Brand Direction
Oversee development and
approval of marketing collaterals
(flyers, brochures, videos,
hoardings).
Timely release of marketing
assets- All creatives approved by
VP Sales prior to publishing
6. Budget & ROI
Accountability
Manage marketing and sales
budgets — max 2% of property
sale value (all inclusive).
Quarterly budget utilisation ≤ 2%
cap- In-house incentives ≤ 0.2%
per sale- Expense-to-result ratio
review each quarter
7. Process & CRM
Governance
Establish robust
lead-management and
confidential CRM SOPs to
prevent leakage.
100% lead traceability and
confidentiality compliance- SOP
audit pass each quarter
8. Legal &
Documentation
Alignment
Finalise EOI, Booking Forms, CP
Agreements with Legal and
Directors.
Templates standardised before
launch- Zero legal deviation in
customer documentation
9. Events & Brand
Engagement
Plan and execute Channel
Partner meets and sales events.
Minimum 1 major CP event per
quarter- ≥ 75% attendance of top
partners
10. Reporting &
Performance
Review
Maintain weekly sales
dashboards and monthly
management reports.
Accurate report submission by 1st
week of each month- Variance
analysis with corrective actions
PHP
Laravel
CodeIgniter- Discussing project aims with the development team.
- Designing and building web applications using CodeIgniter.
- Troubleshooting issues in the implementation and debug builds.
- Working with front-end and back-end developers on projects.
- Testing functionality for users and the backend.
- Ensuring that integrations run smoothly.
- Scaling projects based on client feedback.
- Recording and reporting on work done in Codeignitor/Laravel
- Maintaining web-based applications.
- Presenting work in meetings with management.
Desired Candidate Profile
- Experience working with PHP, performing unit testing, and managing APIs such as REST.
- A solid understanding of application design using Codeignitor/Laravel.
- Knowledge of database design and querying using SQL.
- Proficiency in HTML and JavaScript.
- Practical experience using the MVC architecture.
Job Summary:
We are seeking a skilled and visionary UI/UX Designer with a minimum of 3 to 9 years of experience in SaaS companies and a strong background in Product Design. As the senior UI/UX Designer, you will be responsible for leading our design team and driving the creation of exceptional user experiences for our SaaS products. Your extensive knowledge of UI/UX design principles, product design methodologies, and SaaS industry expertise will be vital in shaping our design strategy and delivering innovative, user-centric solutions.
Responsibilities:
- Collaborate with a team of UI/UX designers, providing mentorship, guidance, and fostering a collaborative design culture.
- Collaborate closely with product managers, developers, and stakeholders to understand business objectives and user needs.
- Conduct user research, competitor analysis, and usability testing to gain insights and validate design decisions.
- Create wireframes, interactive prototypes, and high-fidelity designs that align with the product vision and user requirements.
- Design intuitive user interfaces that provide a seamless and delightful user experience.
- Develop user flows, information architecture, and interaction models to enhance usability and product functionality.
- Conduct design reviews and iterations based on user feedback and data analysis.
- Stay updated with the latest design trends, emerging technologies, and best practices in UI/UX and product design.
Requirements:
- Minimum 3 years and maximum 9 years of proven experience as a UI/UX Designer in SaaS companies with a strong focus on product design.
- Familiarity with AI concepts and the ability to design interfaces that effectively communicate AI-driven insights to users.
- Proficiency in design tools such as Adobe XD, Figma, Sketch, InVision, or similar.
- In-depth knowledge of UI/UX design principles, product design methodologies, and designing for complex web applications.
- Strong background in conducting user research, usability testing, and data analysis.
- Excellent leadership, communication, and collaboration skills.
- A portfolio showcasing successful UI/UX design projects for SaaS products and product design work.
- Ability to manage multiple projects in a fast-paced environment.
Join our team and lead the charge in creating outstanding user experiences for our innovative SaaS products.
Submit your portfolio along with your application to be considered for this position.
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made the
right move to invest heavily in understanding this data and formed a whole new Data
team entirely dedicated to data processing, engineering, analytics, and visualization. This
team helps drive engagement, fuel process innovation, further content enrichment, and
increase market revenue. The Data team aimed to create a company culture where data
was the common language and facilitate an environment where insights shared in
real-time could improve performance. The Global Data team operates out of Los Angeles,
New York, Chennai, and London. The team at Condé Nast Chennai works extensively with
data to amplify its brands' digital capabilities and boost online revenue. We are broadly
divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create
data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.
React.js
NodeJS (Node.js)
React NativeResponsibilities
- Write clean, testable code with unit tests
- Build and improve code across the entire stack
- Ensure project scalability by having good project architecture
- Participate in the entire application life cycle, focusing on coding and debugging
- Responsible for technical guidance and leading a team of react developers ensuring timely delivery
Requirement
- Strong React.js, Node.js, and typescript experience
- Working knowledge of React Native and Redux-Saga
- Hands-on experience with REST APIs, HTML/CSS
- Knowledge of GIT
- Proficiency in SQL
- 3-4 years of minimum experience
You take care of our business we will take care of you,
- We make sure you are growing professionally with quarterly goals and appraisals.
- Health is wealth, so we provide health insurance
- Stand on Top - Employee professional development program
- Welcoming a new member in the family is a great please so we provide maternity and paternity leave
And much more...
Python
DjangoReact.js- Writing reusable, testable, and efficient code.
- Perform Code reviews of other team members.
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server-side logic
- Implementation of security and data protection
- Integration of data storage solutions.
- Liaise with the product management team and architect the application / improve the architecture wherever necessary.
Skills And Qualifications
- 7+ years of the overall experience.
- Strong Practical knowledge and understanding of RESTful API
- Excellent Python coding skills and understanding of Python best practices (PEP8)
- Should handle a team of minimum 4 members
- Excellent detail-oriented, problem-solving skills and the ability to quickly learn and apply new concepts, principles, and solutions
- 7+ years of good hands-on experience in Python, with knowledge of Django
- Good hands-on experience in SQL Database (MYSQL / Postgres)
- Familiarity of Front End Development ( ReactJS )
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Able to create database schemas that represent and support business processes.
- Strong unit test and debugging skills
- Proficient understanding of code versioning tools GIT.
- Has experience of working in an Agile Environment.
- Fluent in English (written and oral) Fluency in a second language is preferred.
- Comfortable working remotely with great communication skills for a remote work environment.
Bonus qualifications
- Knowledge of any cloud. ( Especially Azure )
NodeJS (Node.js)
AngularJS (1.x)
MongoDB
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon