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Business Development Executive
Business Development Executive
Promotup HR Solutions's logo

Business Development Executive

Payal Vyas's profile picture
Posted by Payal Vyas
0 - 1 yrs
₹1L - ₹2L / yr
Ahmedabad
Skills
Business Development
English Proficiency
Communication Skills
Male Female both Can Apply  

Job Location:- Bodakdev -Ahmedabad

Salary:- up to  18000

Job Time:-  09:45 to 06:45


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Promotup HR Solutions

Founded :
2020
Type :
Services
Size
Stage :
Profitable

About

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Payal Vyas
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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
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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:
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2. Autonomous Data Pipelines

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

3. Intelligent Query & Compute Optimization

  • Apply ML/LLMs to:
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4. Distributed Data + AI Infrastructure

  • Architect systems operating at:
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  • Petabyte-scale data
  • Work with:
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  • 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:
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6. LLM & Agentic Systems (Infra-Aware)

  • Build agents that understand data systems
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🧠 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:
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  • Modern LLM ecosystems

Hands-On Expertise

  • Experience building:
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  • Data platforms (warehouse, lake, lakehouse architectures)
  • Distributed pipelines and compute systems
  • Strong programming skills:
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  • 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:
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  • Data observability / lineage systems
  • AI-driven infra or AIOps platforms
  • Experience with:
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  • 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.


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Ayush Rana
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About Kanerika

Who we are:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

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Kanerika has won several awards over the years, including:

CMMI Level 3 Appraised in 2024.

Best Place to Work 2022 & 2023 by Great Place to Work®.

Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

NASSCOM Emerge 50 Award in 2014.

Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.

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Locations

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- Define roles and responsibilities within the governance operating model.

- Drive governance maturity assessments and lead change management initiatives.

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- Expertise in Microsoft Purview, Informatica, and related platforms.

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- Strong understanding of metadata, lineage, policy management, and compliance regulations.

- Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture.

- Familiar with Agile methodologies and stakeholder communication.

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Perks & Benefits: High Incentive Model


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· 3+years relevant experience working as a QA automation engineer.

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· Experience or familiarity with Oracle DB and SQL
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vinita ranjan
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Work with company CEO and/or Director to strategically plan HR initiatives that will benefit the company and encourage more efficient and beneficial work from employees
Direct all hiring and training procedures for new employees
Continually educate employees on company policies (including sexual harassment, appropriate dress, and social media permissions, etc.) and keep employee handbook current
Administer or change benefits, health plans, retirement plans, etc.
Monitor employee progress and stay abreast on company climate and culture, ensuring it stays positive and productive
Coordinate and direct work activities for managers and employees
Foster cross-functional relationships and ensure managers and employees are properly connected
Regularly meet with employees for progress reviews and assessments, discussing any problems or grievances they may have
Promote a positive and open work environment where employees feel comfortable speaking up about issues
Manage and supervise other HR staff, ensuring they are assigned and carry out proper tasks
Understand and adhere to all pertinent labor laws
 
 
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Comfortable working in a highly visible role
Exceptional analytical and problem-solving skills
Honest, ethical, and dependable
Experienced in mediation and conflict resolution processes
Positive, go-getter attitude
Expert stress management skills and the ability to make important decisions under pressure
Attentive listener; understanding, empathetic, and personable
Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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