MIS Analyst

Key Responsibilities:

• Estimation & Coordination
• Work closely with interior designers to understand project requirements.
• Assist in preparing BOQs (Bill of Quantities) and cost estimations.
• Provide market rates and vendor inputs during the design stage.
• Quotation Management
• Source multiple quotations for materials, furniture, fittings, and finishes.
• Prepare comparative statements (quotation analysis) for management review.
• Negotiations & Approvals
• Negotiate prices, delivery timelines, and payment terms with vendors.
• Get approvals from management and issue purchase orders.
• Ensure all approvals, contracts, and documentation are properly maintained.
• Vendor & Material Management
• Identify and maintain a network of reliable vendors for all interior categories.
• Coordinate with vendors for timely supply as per project schedule.
• Resolve issues related to quality, billing, or delivery delays.
• Cost Control & Compliance
• Monitor material usage to minimize wastage.
• Ensure purchases are within approved budgets.
• Comply with company procurement policies and quality standards.

Skills & Requirements:

• Strong knowledge of interior materials, BOQs, and cost estimation.
• Ability to collaborate with interior designers and project managers.
• Excellent negotiation, vendor management, and documentation skills.
• Proficiency in MS Excel / ERP procurement tools.
• 8–12 years’ experience in procurement/vendor management in interiors or construction.

Working day - Tue-Sun . Monday off 

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

• Email Marketing Executive Job Description:

We’re seeking an Email Marketing Executive with at least 1 year of prior experience in email marketing, who has hands-on expertise in lead generation and email list management. The ideal candidate will be skilled in creating compelling email templates, sourcing leads, and utilizing email marketing strategies to drive engagement and conversions.

• _ Key Responsibilities:_

Minimum 1 year of experience in email marketing. Proven knowledge of lead generation through email and list-building techniques.

Proficient in email sourcing for IT Services/Software industries or websites and mobile apps. Strong ability to write engaging email templates.

A minimum of 100 email addresses of relevant contacts for outreach.

RESPONSIBILITIES:

As a Business Development Manager working under the FMCG segment, an ideal candidate must perform the following responsibilities:

·       Approaching potential leads and close them within a stipulated time frame.

·       Create exclusive distributors, exclusive Super Stockiest and business associates for the company.

·       Look after the entire business activities of the exclusive distributors, super stockiest and business associates.

·       Keep abreast with stock reports, inventory, product order, re-order etc.

·       Guide and coordinate the sales team working under his jurisdiction.

·       Training personnel and helping team members in developing their skills.

·       Make strategic marketing plans/ beat plans to achieve the business targets.

·       Perform other sales, marketing or promotion related activities towards the growth of the company as when instructed by the company.

·       Finding and developing new markets and improving sales.

REQUIREMENTS:

·       Bachelor’s degree in business, marketing or related field.

·       Experience in sales, marketing or related field.

·       Strong communication skills.

·       Ability to manage complex projects and multi-task.

·       Excellent organizational skills.

·       Ability to flourish with minimal guidance, be proactive and handle uncertainty.

·       Proficient in MS office.

Sr. CRM- Real Estate

Roles and Responsibilities

1. Business Development and Relationship Building with all IPC's, Channel partners and Local brokers in the vicinity

2. Tracking market movement and being well aware of all the movement in the market.

3. Relationship Building with all prospects and clients.

Principal Accountabilities

1. Lead and Revenue Generation

2. Client Management / Client Trust Building

3. Implementation of Company Policies and being Innovative when interacting with all Channel Partners and Prospects.

4. Degree Holder with 3 to 5 years experience.

5. Having knowledge in respect to Real Estate Market along with knowledge about Co-working transactions is a plus.

6. Good Communication skills for interacting with Land Lords/ Developers. Possess strong interpersonal skills with the ability to build rapport quickly.

7. Ability to think strategically along with problem-solving solutions, also being aware of the market and respond to the clients based on their requirements.

8. Ability to perform under pressure and adapt based on the market situation while being self-motivated at the same time.

9. Knowledge of movement in the market from the competition and any new projects coming up.

Location: Lajpat Nagar (South Delhi)

Package: upto 6 L

Experience: 3 yrs plus