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🤖 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.

Required Skills:

· 6+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Snowflake and Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

Position description:

As a Sourcer, you will be responsible for sourcing active candidates from on-line databases, contact lists, and internal databases as well as sourcing passive candidates through networking, cold calling, complex internet searches, and research. This is a great opportunity for anyone in Staffing to become a part of a truly global sourcing effort. 

Responsibilities:
1. Proactively conduct research and investigate new ideas to create innovative sourcing strategies. Strong focus on sourcing passive candidates through networking, cold calling, complex internet searches, and research.

2. Source active candidates from on-line databases, contact lists, internal databases, and employee referrals.

3. Act as a search expert for a functional area(s) by understanding functional hiring needs, position specifications, and search requirements.

4. Partner with recruiters to generate ideas, leverage resources, and share information that facilitates an effective search process.

5. BA/BS degree preferred or equivalent experience

6. 3-5 years of recruitment experience in an agency

7. Be a market intel expert for the respective skill sets you hire for and drive insightful discussions around talent availability, forecasting, competitor landscape with recruiters and clients

Engineering Manager (Bangalore, Remote option available) 8+ years of experience 

Zepto (www.zeptonow.com)

Why should you look at this role?

Salary 65-80 lakh per annum

Paid leave

Sick leave

Provident Fund

What Else?

• High growth startup in quick commerce space (10 min delivery)
• Given our very high hiring bar, we offer a very competitive salary and substantial equity to create everlasting wealth for our early believers as the company grows.
• Work on real world logistics problems & benefit from the rocket ship Zepto is!

Tech Team: 40-50 (200+ in few months)

About the Employer

Zepto is a fast-growing startup that delivers products in 10 minutes through an optimised network of dark stores that we're building across the country!

Just 6 months after launching, we've raised $160 million from marquee

investors in Silicon Valley and India. Our investors include Y Combinator, Nexus Venture Partners, and many more! We’ve built out one of the best startup teams in India, with Senior Executives from Uber, Flipkart, Dream11, PhonePe, Goldman Sachs, Pepperfry, and institutions like Stanford, INSEAD, IITs, and IIMs.

The magic of Zepto is our ability to consistently deliver 2,500+ products in 10 minutes flat. It's the core of what we do, and the reason why we’ve been able to grow so fast with phenomenal customer love. Our mission is simple: to make 10-minute delivery the new normal.

Funding:

Funding Zepto has raised a total of $160M in funding over 3 rounds.

Their latest funding was raised on Dec 20, 2021 from a Series C round.

Employer Reviews:

“High Ownership, Lots of Learning, Broad Roles, Accessible Leaders”

"Alot of benefits like ZeptoJoy coupon, internet bill reimbursement and cab reimbursement is also taken care of. Overtime is paid."

Reporting structure:

Software Engineer -> Sr Software Engineer -> Lead -> EM -> AD / Director / VP -> Head of Engineering -> CTO

The EM role would involve team management

Interview Process:

1. Discussion on past experience and problem discussion based on projects done
2. Low level design
3. High level design

(One of the rounds will test scenario management via case study since it’s a managerial role) 

What You will do Everyday?

• You not only have the technical chops to roll up sleeves and provide technical leadership to major projects but also build and manage a team of top noch engineers.
• You not only optimize your own code but make sure engineers are able to optimize theirs.
• As an Engineering Manager you manage your business goals, contribute to product strategy and help develop your team
• Create clear career paths for team members and help them grow with regular & deep mentoring.
• Perform regular performance evaluation and share and seek feedback.
• Operating with scale and speed amidst flux, there is just a LOT happening.
• Our world-class software engineers are just getting started -- and as a manager, you guide the way. You are their default mentor.
• You work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace
• You set up best practices for development and champion their adoption and at the same time Architect & design technically robust, flexible and scalable solutions
• You work with designers, business analysts, and product managers to estimate and plan projects in an Agile environment
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organizations

Your Superpowers

• B.E/B.Tech or any other similar qualification with experience as a tech leader and people manager for at least 8+ years.
• Experience of managing teams and delivering high-quality projects on time.
• Experience with building, developing and coaching teams of best technical talent in the Industry.
• Experience with managing diverse teams and delivering high-quality projects on time.
• Deep understanding of technology and architecture in a highly scalable and available setup.
• Experience with new open source technologies and their adoption into product development etc.
• Experience with new open source technologies and their adoption into product.

Mandatory Skill Requirements:

1. Strong Fundamentals on Manual Testing.
2. Some experience on API Automation Testing .
3. Basic understanding of any of the coding languages.(During the interview one coding question will be asked)
4. Basic understanding of SQL.(During the interview one SQL question will be asked)
5. Preferred Experience ( 2-6 yrs)