Finance 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.

Job Title: Business Development Execu ve (BDE)  

Loca on: Coimbatore / On-site 

Experience: 0–1 Year 

Employment Type: Full-Time 

Job Descrip on: 

We are seeking a mo vated and energe c Business Development Execu ve to join our sales and 

marke ng team. The ideal candidate should have strong communica on skills and an interest in IT 

sales, SaaS, or ERP solu ons. 

Key Responsibili es: 

 Understand and explain company services and offerings to prospects. 

 Iden fy and reach out to poten al clients via calls, emails, and social pla orms. 

 Explain product/service offerings to leads and prospects. 

 Assist in preparing proposals and presenta ons for clients. 

 Maintain rela onships with clients and follow up regularly. 

 Support the team in marke ng campaigns and lead genera on ac vi es. 

Requirements: 

 Strong communica on and interpersonal skills. 

 Basic understanding of IT services, SaaS, or soware solu ons. 

 Good presenta on and nego a on skills. 

 Willingness to learn and grow in a client-facing role. 

 Proficiency in English; knowledge of CRM tools is a plus. 

Nice to Have: 

 Degree in Business, Marke ng, or related field. 

 Internship or academic project in sales or marke ng. 

Package: 

 1.5 LPA (Depends on performance)

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

• Developing new user-facing features using React.js

• Building reusable components and front-end libraries for future use

• Translating designs and wireframes into high quality code

• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skilled in developing and executing automated scripts using Selenium web driver, Java and TestNG . Automation engineer - java, selenium, python.

• On-Premise Infrastructure Management: Utilize 10-20 years of experience to oversee and optimize on-premise infrastructure, ensuring stability, scalability, and security.
• Cloud Infrastructure Management: Lead the implementation and management of AWS and Azure cloud environments, leveraging best practices and ensuring adherence to security standards. Must be cloud certified and proficient in managing PaaS services.
• Dynatrace Monitoring: Utilize Dynatrace expertise to implement and maintain effective monitoring solutions, ensuring proactive identification and resolution of performance issues.
• Technical Expertise: Demonstrate proficiency in a variety of technologies including Oracle, SQL Server, Shareplex for Oracle replication, Commvault, Windows, Linux, Solaris, SNMP Polling and Traps, Unix Extension, and more.
• Analytical Skills: Conduct complex analysis to optimize bulk metrics and alert profiles, ensuring efficient resource utilization and timely response to critical incidents.
• Cloud Integration: Facilitate inter-AWS account integration using Terraform IAM roles and integrate with other products such as Splunk, APIM, and VMWare to enhance overall infrastructure capabilities.
• Experience working with On-Premise Infrastructure
• Experience with AWS & Azure and Cloud Certified.
• Dynatrace Experience & Professional Certification

Program Coordinator-Wearables

Experience 2 to 3 years

Skill Set: 

• Understanding of technology (Mobile Apps, Wearables)
• Experience in creating and modifying project plans (MS-Project / Project libre)
• Good experience in working with MS-Office
• Working with multiple stakeholders is a must requirement
• Understanding of Java, IOT and Cloud technologies
• Excellent communication and interpersonal skills
• Person should have an IT experience background (B.Tech or MBA).

Roles and responsibilities:

• Schedule and manage meetings for project related tasks
• Take notes and create MOM to publish for all stake holders
• Coordinate with stakeholders in following up on all the associated action items
• Create / Modify project plans
• Create dashboards in JIRA based on project requirements.

Exp. Level: 5+ Yrs

Proven experience as a. NET Developer

Familiarity with the ASP. NET core framework, SQL Server, Web API, and Microservices

Understanding of Agile methodologies

Excellent troubleshooting and communication skills

Required Skills: ASP. Net Core Web API, and React Js

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ID: linkedin.com/in/ranjini-c-n-36b674131

Job Description:

• Develop business plans and manage partnerships to offer value added services for Prepaid card users.
• Compare with competition, keep track and maintain competitive track sheet.
• Brings strategic tie-ups which can aligned with card offerings.
• Building relationships with affiliates & partners for more business, better placements & visibility.
• Managing end-to-end promotions & offer execution for partner sale events- Festive campaigns, OEM launches.

• Owning responsibility for defining and driving operational/business goals.
• Managing Day-to-day operations of the ecommerce platform.
• Building on the existing business by adding new categories and product portfolio listings on the marketplaces.
• Product Portfolio management – Assisting the team with product sales and category and performance inputs to optimize the product portfolio from time to time.
• Overseeing the day-to-day marketplace eCommerce operations, customer service, updates, post listings, promotions, merchandising, maintenance and performance.
• Staying up-to-date with the promotional calendars and plans of eCommerce platforms. Driving category interventions.
• Supporting the eCommerce Manager on campaigns and programs.
• Supporting integrations of eCommerce platform with main website as well as backend systems and applications.
• Guiding internal teams and vendor teams on development & implementation issues.
• Coordinating with Marketing, Sales, Supply Chain, and Operations on Day-to-day management of the eCommerce platform.
•  

What you need to have:

• Minimum 5 years of experience within an ecommerce operations role
• Experience handling ecommerce platforms, online sales and website content management
• Excellent communication and organizational skills in addition to project management experience
• Financial acumen- ability to reconcile accounts receivables with payments received from sales partners
• Ability to manage tasks simultaneously
• Experience working on Google and web analytics
• Experience evaluating and executing SEO strategies    

Senior Full Stack Python Engineer at Silicon Valley AI company