Data Scientist

Public Listed - Product Based company

Data Scientist

Recruiting Bond

Company

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Data Scientist

at Public Listed - Product Based company

Agency job

via Recruiting Bond

4 - 8 yrs

₹25L - ₹70L / yr

Bengaluru (Bangalore)

Skills

Data Science

data platforms

Data-flow analysis

Data pipelines

AI Infrastructure

Large Language Models (LLM)

Large Language Models (LLM) tuning

Agentic Systems

AI Agents

Machine Learning (ML)

Deep Learning

Natural Language Processing (NLP)

Statistical Modeling

Gen AI

Retrieval Augmented Generation (RAG)

Data Warehouse (DWH)

Data modeling

Python

PyTorch

AI/ML

Multi-modal AI

SQL

PostgreSQL

MongoDB

Query planning

Prompt engineering

ETL

ELT

AI copilots

Generative AI

Artificial Intelligence (AI)

Google Vertex AI

Vector database

🤖 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.

🤖 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.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

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.

Companies hiring on Cutshort

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Develop use cases and do unit test cases and execute them part of continuous integration pipeline.

Job Description:

Proficient in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Ajax, REST API, Micro services etc.
Working knowledge of any SQL database (MySQL, Oracle etc)
Working knowledge of No-SQL database (Mongo or Dynamo DB)
Experience in unit testing using Junit or Mockito
Experience in designing and architecting systems with high scalability and performance requirements.
Ability to design infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
In depth knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc..
Certification on AWS architecture desirable
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

Roles and Responsibilities:

Participate and contribute in platform requirements/story development.
Contribute to the design, coding for the requirements/stories and also participate in code and design reviews.
Develop use cases and do unit test cases and execute them part of continuous integration pipeline.

Sr Full Stack Developer

at MoooFarm

2 recruiters

Agency job

via Inpurppl Strategies by Preeti Kalra

Delhi, Gurugram, Noida, Ghaziabad, gurgaon

3 - 7 yrs

₹15L - ₹26L / yr

Java

Javascript

React.js

Angular (2+)

AngularJS (1.x)

+5 more

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle,from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.
What you’ll do:
• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
What you’ll need:
• Proven experience as a Full Stack Developer or similar role
• Experience as a node.js developer
• Experience as a React Native Developer
• Experience in handling build systems, deployments, and cloud systems
• Experience developing desktop and mobile applications
• Knowledge of multiple front-end languages and libraries (e.g. JavaScript, XML, jQuery)

Business Analyst.

at Andesoft Consulting

6 recruiters

Posted by Ashish Sharma

Mumbai

4 - 8 yrs

₹5L - ₹15L / yr

Business Analysis

Business Analyst

FRD

BRD

Software Requirements Specification (SRS)

+6 more

Role: Business Analyst.
Job type: Full time
Role type: Technical/Operations.
Location: Mumbai
Functional Area: Web and app development specializing in CRM and Sales Force Automation IT solutions.

About the role:
We are looking for a Business Analyst who will be responsible of complete development cycle of the project and
maintenance. He/ She will be involved in performing detailed requirements analysis, documenting processes,
knowledge transfer, and performing user acceptance testing.
You will be responsible for -
● Good experience in preparing different documents for the SDLC such as FRD, BRD, SRS, Flowchart, UML, Use
Cases, Test Cases, Prepare Presentation etc.
● Good experience in using various project management tools such as Visio, Jira, Mantis, MS Project etc.
● Basic knowledge of the technologies such as SQL, .Net, PHP, iOS and Android platforms.
● Excellent communication skills require.
● Analyze details to understand client requirements
● Plan and execute research to meet specific client objectives.
● Research-oriented with good Analytical skills
● Should think out of the box, always up to date with the current industry updates.
● Advanced skills in Word, PowerPoint, Outlook, and Excel.
● Communicating effectively with external clients and internal teams to deliver product’s functional requirements
● Collecting and analyzing the project’s business requirements and transferring the same knowledge to the
development team and the non-technical users
Qualification & Experience:
● Any Engineering Graduate or Post Graduate.
● BS degree in Information Technology, Computer Science or equivalent
● 3 Years of Professional Experience.
Great to have’s: Must have skills or competencies.
● Strong written and verbal communication skills.
● Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps
flowing in rapidly and the world is constantly changing
What we offer you?
● An open minded, collaborative culture of enthusiastic technologists.
● Getting to work with our clients and be part of the next level evolution.
About Andesoft Consulting:
Andesoft is a boutique interactive services shop strategically combining business analytics and design. The primary
domain expertise covers, Web architecture, CMS and CRM technologies
Market and business analytics to achieve better market segmentation and campaign management
Custom off-line and on-line interactive applications
The 3 major business verticals we specialize in are Health Care, Financial Services, and Public and Non-profit
Sectors.
Company Profile: http://www.andesoftconsulting.com

Simform Solutions - WordPress Developer - CMS (1-3 yrs)

at Simform Solutions

4 recruiters

Posted by Jaynish Soni

Ahmedabad

1 - 3 yrs

₹3L - ₹6L / yr

Wordpress

Content Management System (CMS)

custom theme

PHP

MySQL

+2 more

Summary : - WordPress Developer will be responsible for various delivery and maintenance tasks across our portfolio of WordPress websites.Role & Responsibilities :- Understand latest industry trends and Content Management systems.- Designing and implementing new features and functionality- Establishing and guiding the website's architecture- Ensuring high-performance and availability, and managing all technical aspects of the CMS- Helping formulate an effective, responsive design and turning it into a working theme and plugin.Person Specification and Qualifications :- Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery and Photoshop- Experience building user interfaces for websites and/or web applications- Experience designing and developing responsive design websites- Comfortable working with debugging tools like Firebug, Chrome inspector, etc.- Ability to understand CSS changes and their ramifications to ensure consistent style across platforms and browsers- Ability to convert comprehensive layout and wireframes into working HTML pages- Knowledge of how to interact with RESTful APIs and formats (JSON, XML)- Proficient understanding of code versioning tools such as Git- Strong understanding of PHP back-end development- BE/ B.Tech or equivalentSkills : WordPress, HTML, CSS3, JavaScript, BootStrap