Business Development Executive

🤖 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.

Job Title: Chief Manager - Product & Buying (Apparel Retail Brand)

Location: Gurgaon, India

Experience Required: 10-15 years in Apparel retail brand

Industry: Textile / Apparel / Garment Accessories/ Retail

Department: Sales & Business Development

·        Develop and implement detailed seasonal product plans, aligned with business goals.

·        Present range and sign off Business Unit (BU) plans in coordination with the Buying and Merchandising Head.

·        Book product quantities to support launches and adapt to in-season sales trends.

·        Analyze sales data to support informed buying decisions.

·        Work closely with suppliers to revise production flows based on sales performance and maximize sell-through.

·        Set and review targets for sales, margins, stock levels, commitments, and availability.

·        Contribute to the operating plan review and capture key learnings for future planning.

·        Manage catalogue intentions and the In-Range Presentation (IRP).

·        Lead planning and execution for all markdown and promotional periods.

·        Monitor supplier performance and ensure timely agreement and alignment on range production plans.

·        Coordinate with suppliers for flow inputs to maintain alignment between production and commitments.

·        Manage production plans to optimize Merchandise Stock Index capacity.

·        Collaborate with the Retail team by providing inputs for store layout planning.

·        Contribute to pricing strategies for new ranges.

·        Maintain competitive awareness and monitor product offerings in the market.

·        Plan, optimize, and review the product catalogue in alignment with store formats and chain performance.

·        Lead implementation of new systems and processes for improved efficiency.

Key Requirements:

·        Create and execute the departments Operating Plan.

·        Select relevant products from the M&S global catalogue to capture trends, drive volume, and meet customer demand.

·        Lead local product development to address market gaps, regional requirements, and margin improvement opportunities.

·        Plan and manage flow and phasing of stock to ensure timely product availability.

·        Ensure buying is aligned with approved plans and meets critical path timelines.

·        Drive in-season development of short lead-time products to improve responsiveness.

·        Develop and scale value fashion lines for Tier 2 markets.

·        Collaborate with Visual Merchandising and Marketing to deliver compelling in-store looks and storytelling.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish; 88 O2 74 97 43

Website: www.glansolutions.com

Google search: Glan management consultancy

Academic Counsellor– Business Development (B2C)

I. Responsibilities

• Perform Basic Duties of a BDE

• Respond promptly to any issues that directly affect sales.

• Hire, onboard and train new team members in the sales team.

• Contact potential clients through cold calls, emails, and social media, presenting EduFynd's services to generate leads and engagement.

• Engage and qualify inbound leads generated from organic and inorganic marketing campaigns

• Nurture leads through timely follow-up, providing relevant information, and addressing inquiries to move them through the sales funnel.

• Maintain accurate records of lead interactions and pipeline status using CRM software.

• Effectively present EduFynd's service to potential clients during meetings and presentations.

• Understand student requirements and suggest suitable course & universities that align with their needs and preferences.

• Foster long-term, trusting relationships with clients by providing consistent support, regular communication, and updates.

• Handle all business development activities, ensuring smooth execution from lead generation to client on boarding.

• Proactively build relationships with partners and other industry professionals by visiting their offices and exploring collaborative business development opportunities.

Candidate Requirement

• One year experience as a business development executive

• Sales/Customer service skills

• outstanding communication ability – verbal & written

• should be multilingual

• Confident and pleasant personality

• Well-organized

• Ability to work with targets

• Sound judgement

• Bachelor’s degree

• 3+ years of Experience in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Micro services etc.
• Working knowledge of JVM internals
• Working knowledge of any database (MySQL or HSQLDB)
• Working knowledge of No-SQL database (Mongo or Dynamo DB)
• Working experience with messaging (JMS/RabbitMQ)
• R & D on new advanced cloud-based technologies in a test-driven agile development.
• Knowledge in designing and architecting systems with high scalability and performance requirements.
• Ability to understand infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
• knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.
• Certification on AWS Fundamendals
• Excellent communication skills
• ability to effectively articulate technical challenges and solutions
• skilled in interfacing with internal and external technical resources
• Good in debugging problems and mentoring teams on technical front

• Writing well-designed, testable and efficient code.
• Gathering and evaluating user feedback.
• Working as a part of a dynamic team to deliver winning products.
• Providing code documentation and other inputs to technical documents.
• Supporting continuous improvement by investigating alternatives and new technologies and presenting these for architectural review.
• Troubleshooting and debugging to optimise performance.

• You possess a Degree/Diploma in Computer Science, Engineering or related field.
• You have at least 1-3 year experience, ideally within a Software Engineer role with some inhand experience with Flutter or dart.
• You pay strong attention to detail and deliver work that is of a high standard.
• You are adaptable and thrive in changing environments.
• You are highly goal driven and work well in fast paced environments.

• Strong understanding of HTML, CSS, CSS preprocessors, JavaScript, Object-oriented programming (OOPS), Design patterns, Web principles, and UI Libraries like Bootstrap.

• Strong skills in JavaScript frameworks and libraries (React).  

• Understanding of UX research and design processes.

• Expert in REST web services.

• Understanding of providing optimum web performance.

• Experience using repositories, build & deploy tools like git and Jenkins.

• Experienced with modern JavaScript coding, testing, debugging, and automation techniques

• Experience in unit test formation and understanding of jest enzyme and snapshot testing.

• Experience with popular React.js workflows (such as Flux or Redux)

• Demonstrable experience with React State management - Redux-Saga and popular React.js workflows

• Experience with data structure libraries (e.g., Immutable.js)

• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

• Excellent knowledge of React hooks.

The ideal candidate will be responsible for the technical design and implementation of new products and enhancements. They will work in all phases of the development cycle: concept to implementation.  

• Perform full life-cycle development
• Adhere to agreed upon delivery schedules
• Utilizes source control, continuous integration, and unit testing best practices
• Work cross-functionally to define and write code for new features

Qualifications

• Bachelor's degree or equivalent in Computer Science
• 2+ years' experience in related area
• Experience with iOS and Android platforms