Businesses 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.

Required Skills & Qualifications

• 4+ years of professional experience in backend development with Python.
• Strong hands-on experience with FastAPI (or Flask/Django with migration experience).
• Familiarity with asynchronous programming in Python.
• Working knowledge of version control systems (Git).
• Good problem-solving and debugging skills.
• Strong communication and collaboration abilities.
• should have a solid background in backend development, RESTful API design, and scalable application development.

Shift: Night Shift 6:30 pm to 3:30 AM IST

Experience: 1 to 4 years ( Must Advertising Agency)

Job Type: Full time, on site

Working days: 5 (+ Alternative Saturdays)

Working hours: 10:00 am to 6:30 pm

Location: C.G. Road, Ahmedabad

Compensation: Up to 6 LPA

Qualifications:

• Proven content crafting experience in digital agencies.
• Up-to-date with tech and marketing trends.
• Portfolio of plagiarism-free content.
• Strong communication and writing skills.
• Research ability and attention to detail.
• Creative thinker and team player.
• Bachelor’s degree in a relevant field.
• Proficient in content management tools
• Understanding of word play in English, Hindi and Gujarati language.

About Us:

DriveX is India’s largest used 2-wheeler platform founded by Narain Karthikeyan, India’s first Formula 1 racer. DriveX is a fully stacked platform having capabilities across the pre-owned vehicle value chain from procurement to refurbishment to retail and service of pre-owned two-wheelers.

Website- https://www.drivex.in

Location- Bangalore

Job Overview:

We are looking for a talented Python Developer to join our tech team. The successful candidate will be responsible for developing server-side logic, integrating front-end components, and supporting the development of scalable and high-performance applications. The Python Developer will collaborate with cross-functional teams to deliver high-quality software solutions.

Responsibilities:

1. Develop server-side logic using Python for seamless integration with front-end components.

2. Design and implement scalable and high-performance applications.

3. Collaborate with front-end developers to integrate user-facing elements with server-side logic.

4. Implement security and data protection features.

5. Work closely with the product management team to define and implement new features.

6. Optimize applications for maximum speed and scalability.

7. Collaborate with other team members and stakeholders to deliver software solutions that align with business requirements.

8. Stay up-to-date with industry trends and technologies, and apply them to the development process.

Requirements:

1. Proven 3+years of experience as a Python Developer.

2. Strong proficiency in Python, with a good understanding of their ecosystems. 3. Knowledge of server-side templating languages such as Jinja 2 or EJS.

4. Understanding of front-end technologies, such as HTML5, CSS3, and JavaScript.

5. Experience with data migration, transformation, and scripting.

6. Proficient understanding of code versioning tools, such as Git.

7. Knowledge of authentication and authorization mechanisms.

8. Familiarity with common front-end development tools, such as Babel, Webpack, etc. 9. Strong problem-solving skills and attention to detail.

10. Excellent communication and collaboration skills.

11. Ability to work well in a team-oriented, collaborative environment.

12. Experience with microservices architecture is a plus.

As a back-end developer, you’ll work on our back-end app that is built with Ruby on Rails. You’ll help to plan and develop new features, review other people’s code, fix bugs, help in technological and business decisions, and support the internal team.

Responsibilities

• Work in our main app back end built with Ruby on Rails
• Act as an architect of new features
• Review other people's code
• Fix bugs
• Help in decisions of technology and business
• Support internal team
• Refactor code

Requirements

• At least 3 years of industry experience
• At least 1 year of experience working on Ruby on Rails projects
• Comfortable in dealing with server infrastructure and deployment processes
• Experience with continuous delivery and automated testing.
• Experience with refactoring Ruby on Rails applications
• Experience in designing, developing and maintaining APIs
• Can work for at least a couple of hours during Japanese business hours

Nice to haves

These aren’t required, but be sure to mention them in your application if you have them.

• UI/UX design principles
• Good understanding of coding best practices and design patterns
• Understanding of security technologies (encryption, authentication, OAuth 2.0)
• Contribution to open source projects
• Interest and ability to learn other coding languages as needed
• Agile Development experience

Strong hands-on experience with ReactJS, Redux, TypeScript, HTML, Bootstrap, Material UI, CSS3/SCSS, Webpack, NPM, NVM, Visual Studio Code

Knowledge/Experience on Restful APIs integration.

Unit testing with Jasmine or an equivalent framework

Experience or Knowledge in developing complex reusable component libraries such as complex grids, spreadsheet components etc.,

Strong in UI/UX standards implementation

Understanding of browser fundamentals and Page Optimizations

Experience working with Git and Azure

1. Good experience in react components, hooks and state.
2. Experiences in the implementation of responsive web layouts
3. Ability to discuss and explain design options.
4. Good experience with HTML5 & CSS3, Bootstrap Good understanding of JavaScript.
5. JavaScript libraries and CSS frameworks are preferred.