Telesales 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.

Key Responsibilities

Frontend & Extension Development

• Build and maintain highly responsive, modern user interfaces using React.js for web applications, browser extensions, and Electron-based desktop clients.

• Architect and develop modular, reusable UI components using Material-UI (MUI / Joy UI) and styled-components/Emotion.

• Manage complex multi-target build pipelines (Web, Extension, Electron) using Webpack and Craco.

AI Integration & Engineering

• Seamlessly integrate Generative AI capabilities into the frontend, including AI-driven chatbots, contextual AI suggestions, and RAG (Retrieval-Augmented Generation) interfaces.

• Collaborate closely with backend and AI specialists to consume AI-powered REST APIs and WebSocket streams, ensuring fluid and responsive user experiences.

• Implement robust markdown and code rendering (e.g., react-markdown) for rich AI conversational outputs.

Real-Time Data & State Management

• Implement low-latency, real-time communication features using Socket.IO for chat and collaborative functions.

• Efficiently manage complex application state, data fetching, and caching using modern tools like React Query and Axios.

Quality & Collaboration

• Work within a monorepo/workspace structure to maintain distinct client, component, and extension packages.

• Participate in code reviews to maintain high code quality, performance, and enterprise security standards.

• Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.

Required Skills:

• Core Languages: Proficiency in JavaScript (ES6+) and TypeScript.

• Frontend Frameworks: Strong, hands-on experience with React.js (Hooks, Context), React Query, and React Router.

• Styling & UI: Deep understanding of HTML5, CSS3, and CSS-in-JS libraries (e.g., styled-components, react-jss). Hands-on experience with MUI (Material UI / Joy UI) is highly preferred.

• Architecture & Build: Experience configuring and optimizing builds with Webpack and Craco. Familiarity with npm workspaces/monorepos.

• Real-time & APIs: Ability to design and implement robust client-side integrations with RESTful APIs and WebSockets (Socket.IO).

• Agile & Workflow: Experience working with Agile and Scrum methodologies.

Preferred/Bonus Skills:

• Experience in building and packaging Browser Extensions and/or Electron applications.

• Genuine curiosity and awareness of Generative AI workflows (e.g., prompt engineering concepts, handling streaming AI responses).

• Experience with rich text editing or markdown rendering in React.

Relationship Manager – Insurance Sales.

Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained. 

Achieving Sales Target

Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills. 

Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities. 

Building and maintaining strong relationships with agents, providing support and addressing their needs. 

Tracking agent performance, identifying areas for improvement.

Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability. 

Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network. 

Required skills

• Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
• Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
• Basic computer knowledge and statistical analysis

Hiring: Flutter Developer (5+ Years Experience)

📍 Location: Kolkata (Work From Office only)

We are looking for an experienced Flutter Developer who can build high-quality, scalable mobile applications for Android and iOS. The candidate should be comfortable working with product teams and delivering clean, maintainable code.

🔹 Responsibilities

• Develop and maintain mobile apps using Flutter (Dart).
• Translate UI/UX designs into responsive mobile screens.
• Integrate APIs and third-party services.
• Write clean, reusable, and testable code.
• Debug and optimize applications for performance.
• Collaborate with designers, backend developers, and product managers.
• Publish apps to Play Store and App Store and maintain updates.

🔹 Requirements

• 5+ years of experience in mobile app development.
• Strong hands-on experience with Flutter & Dart.
• Experience with REST APIs, Firebase, and third-party libraries.
• Knowledge of state management (Provider, Bloc, Riverpod, etc.).
• Understanding of app architecture and performance optimization.
• Experience with Git/version control.
• Good communication and problem-solving skills.

🔹 Good to Have

• Experience with CI/CD for mobile apps.
• Knowledge of native Android/iOS is a plus.
• Startup or product-based company experience.

👉 Preference will be given to candidates based in Kolkata only.

📩 Interested candidates can apply with their updated CV and portfolio/GitHub links.

Job Title: ELK Stack Engineer

Position Overview:

We are seeking a skilled and experienced Senior Elasticsearch Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines using the ELK Stack (Elasticsearch 7.1 or higher, Logstash, Kibana). The Senior Elasticsearch Developer will play a key role in managing large datasets, optimizing complex queries, and maintaining self-hosted Elastic Search clusters.

Responsibilities:

• Design, develop, and maintain data pipelines using the ELK Stack.
• Handle large datasets (3 billion+ records, 100+ fields per index) with efficiency and accuracy.
• Develop and optimize complex Elasticsearch queries for efficient data retrieval and analysis.
• Manage and maintain self-hosted Elastic Search clusters.
• Implement DevOps practices, including containerization with Docker.
• Perform backups, disaster recovery, and index migrations to ensure data security and integrity.
• Execute data processing and cleaning techniques, including writing custom scripts to extract and transform data into usable formats.
• Collaborate with the engineering team to integrate Elastic Search with other systems.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum 5+ years of experience in designing, developing, and maintaining data pipelines using the ELK Stack.
• Hands-on experience handling large datasets (3 million+ records, 50+ fields per index).
• Strong proficiency in developing and optimizing complex Elasticsearch queries.
• Experience managing and maintaining self-hosted ElasticSearch clusters.
• Proficiency in DevOps practices, including containerization with Docker.
• Knowledge of security best practices, including backups, disaster recovery, and index migrations.
• Experience with database administration and data processing techniques.
• Excellent communication and teamwork skills.

Benefits:

• Competitive salary and benefits package between 20 to 35 LPA.
• Opportunities for professional development and growth.
• Collaborative and inclusive work environment.
• Flexible work hours and remote work options.

Full Stack Developer

Born at MIT, GeniusMesh is an executive networking, career coaching and recruitment platform. We are building our offshore team to support our growth. 

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team 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. You must be familiar with agile methodologies

• 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
• Work with data scientists and analysts to improve SaaS offerings

• Proven experience as a Full Stack Developer
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• Willing to learn new tools and technologies
• An analytical and entrepreneurial mindset
• Degree in Computer Science, Statistics or relevant field
• Willing to work in a fast paced innovative environment

• Job Title:- HR – Executive
• Experience:- Min. 2 years’ experience
• Job Location:- Opp. Sola over bridge, Ahmedabad
• Number of Vacancy:- 01, Sunday week off
• Notice Period:- Can join less than a month

Job Description:-

• Reviewing resumes and applications.
• Conducting recruitment interviews and providing the necessary inputs during the hiring process.
• Working with recruitment agencies to source for candidates for specific job positions.
• Coordinating with consultants and candidates for scheduling appointments with the management team for sourcing.
• Conducting first round of telephonic interview for the candidates to schedule interviews.
• Maintaining HR records, such as those related to compensation, Personnel files, etc.
• Communicating and explaining the organization's HR policies to the employees.
• Follow up of confirmation records statutory obligations - PF, ESIC, taxes, gratuity, LTA, bonus, etc.
• Preparation of salary statement.
• Handling the full and final settlement of the employees.
• General Administration.
• Preparing and submitting all relevant HR letters/documents/certificates as per the requirement of employees in consultation with the management.
• Recording, maintaining and monitoring attendance to ensure employee punctuality.
• Conducting employee orientation and facilitating newcomers joining formalities.
• Maintaining and regularly updating the master database (personal file, personal database, etc.) of each employee.
• Resolving grievances or queries that any of the employees have.
• Escalating to the right level depending on the nature of the grievance or issue.
• Conducting exit interviews for employees and recording them accordingly.
• Reviewing job descriptions for all positions at regular intervals and updating them in consultation with the respective managers.
• Engaging with employees on a regular basis to understand the motivation levels of people in the organization.

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities: 

• Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions. 
• Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
• Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
• Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
• Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

• Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
• Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data. 
• Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

• 7+ years experience in building large scale products, distributed systems in a high caliber environment.
• Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
• Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
• Platform Engineering: Solid understanding of distributed systems and operating systems fundamentals such as concurrency, multithreading, file systems, locking etc.
• Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
• A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
• Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.