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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.

Job Title: Associate Solution Design / Pre-Sales Consultant – Logistics SaaS

Location:

Bengaluru (On-site)

Experience Required:

2–3 years in Pre-Sales / Business Analysis / Solution Consulting / Supply Chain Technology

About the Role

We are looking for an enthusiastic and detail-oriented Associate Solution Design / Pre-Sales

Consultant to support our sales team in crafting effective logistics solutions for prospective

clients.

This is an excellent opportunity for someone early in their career to gain hands-on

experience in solutioning, client interactions, and SaaS-based logistics platforms, while

working closely with senior solution consultants and enterprise sales teams.

Key Responsibilities

 Work with Sales and senior consultants to gather and understand client

requirements

 Assist in designing solution workflows across shipping, order processing, and

warehouse operations

 Support in creating solution documents, BRDs, and process flow diagrams

 Participate in client calls, discovery sessions, and product demonstrations

 Help prepare RFP/RFI responses and proposal documents

 Collaborate with Product and Tech teams to understand platform capabilities and

constraints

 Assist in integration scoping (APIs, SFTP, ERP/WMS connections)

 Ensure smooth handover to implementation teams with proper documentation

 Contribute to building demo environments, use cases, and reusable assets

Required Skills & Qualifications

 2–3 years of experience in Pre-Sales / Business Analyst / Implementation / Solution

Support roles

 Basic understanding of logistics and supply chain processes (shipping, warehousing,

order management)

 Familiarity with SaaS platforms and system integrations

 Good analytical and problem-solving skills

 Strong communication skills and ability to interact with clients

 Experience in creating process flows, documentation, or requirement gathering

Preferred Qualifications

 Exposure to Logistics SaaS / eCommerce / supply chain domain

 Basic understanding of APIs, SFTP, or data exchange concepts

 Experience working with ERP systems (SAP, Oracle, etc.)

Key Competencies

 Willingness to learn and adapt quickly

 Strong attention to detail

 Love for Solving Problems

 Ability to work collaboratively with cross-functional teams

 Structured thinking and documentation skills

What You’ll Gain

 Hands-on exposure to end-to-end pre-sales and solution design

 Opportunity to work with enterprise clients and modern SaaS platforms

 Mentorship from experienced solution consultants and sales leaders

 Fast-track growth into Solution Consultant / Pre-Sales Lead roles

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

Skills Required: - Relevant Product Knowledge, Technical Presentation Skills, Product Demonstrations, Proven experience in technical sales & product demonstration roles, Good Verbal Communication.

Areas of Responsibility: -

·      Responsible for explaining our products’ technical functionalities and benefits to potential customers.

·      Responsible for working closely with the sales product team & helping to drive product adoption & sales success.

·      Handle technical questions during demonstrations.

·      Handle technical troubleshooting issues.

·      To Keep the management informed about the product promotional activities.

·      Working with various sales channels - OEMs, End Users, distributors etc. for Product adoption against other manufacturers.

• Participate heavily in the brainstorming of UI/UX architecture and feature design
• Interface with external customers and key stakeholders to understand and document design requirements
• Work cross-functionally with Engineering, Data Science, Product, UX, BD, and Infrastructure teams
• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)
• Perform security, legal, and license reviews of committed code
• Complete projects with little or no supervision from senior leadership

• Must have at least 2+ years experience in front-end web development with the following tools: HTML5, CSS, Webpack, Responsive web design, ReactJS (Components, Router, Redux, Flux, Chart Libraries i.e. Google Charts), Node.js, REST APIs, and other essential features)
• Built and deployed customer-facing services and products at scale
• Developed unit and integration tests
• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles

• You have a strong background in natural language processing, statistical modeling, and/or machine learning
• Experience with open source projects in a startup environment
• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day
• Worked on products where experimentation and data science are core to the development
• Experience with Python and API frameworks (Flask)
• BS, MS or equivalent

Fresh graduates or up to 4 years of experience in HR role

Startup experience preferred

Manage hiring and day to HR operations of our engineering team

• Consistently embarking an excellent first impression on call, delivering exceptional customer experience
• Engage potential customers in dialogue that opens opportunities with the help of scripts and presence of mind
• Going an 'extra mile' to create happy customers to drive loyalty and increase repeat purchase
• Contacting prospective clients / existing customers to inform them about the product using scripts
• Accurately record details of communication with customers
• Developing and sustaining solid relationships with customers to encourage repeat business
• Answer questions about product features in an engaging manner
• Answer all customer questions honestly and accurately
• Using sales scripts drive sales and respond to customer objections
• Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.

Responsibilities:

• Collaborating with the product team on initial concepts, user flows, visual design, and prototypes.
• Research and prototyping with our customers.
• Creation and evolution of UI and brand language within the product.
• Meticulous detail and care for design execution, from concept to delivery.
• Participating in all project phases, from strategy to launch to optimization
• Tightly collaborate with software designers and developers to bring new product features to the market.\

Requirements:

• We should be keen on solving problems with Bharat users.
• Excellent written, verbal, and interpersonal communication skills
• 3+ years of experience as a Product Designer.
• Extensive experience with a variety of graphic design and interactive tools, for example, Adobe Creative Suite, Sketch, Figma, Principle, Framer, etc
• Working knowledge of UX research methodologies with an ability to help lead sessions, apply appropriate techniques, and synthesize results
• Experience with cross-platform design systems, information architecture