Assistant Manager - MIS

🤖 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.

Performance Marketing Executive (Google & Meta Ads)

Company: Aertrip

Location: Ghitorni, Delhi (In-office)

Experience: 2–6 Years

Industry: Travel & Technology

About the Role

We are looking for a data-driven Performance Marketing Executive with strong hands-on experience in Google Ads and Meta Ads (Facebook & Instagram). The ideal candidate should be skilled in managing, optimizing, and scaling paid campaigns with a strong focus on conversions and ROI. Experience in the travel industry will be an added advantage.

Key Responsibilities

• Plan, execute, and optimize campaigns across Google Ads (Search, Display, YouTube) and Meta Ads (Facebook & Instagram)
• Drive performance marketing initiatives focused on lead generation and revenue growth
• Monitor and optimize campaigns based on key metrics such as CPC, CPA, ROAS, CTR, and conversion rates
• Conduct keyword research, audience targeting, and competitor analysis
• Create and test ad copies, creatives, and landing pages
• Implement remarketing strategies and build lookalike audiences
• Manage campaign budgets and ensure optimal allocation
• Conduct A/B testing to improve campaign performance
• Use GA4 and Google Tag Manager for tracking and insights
• Generate performance reports with actionable recommendations
• Collaborate with design and content teams for campaign execution

Must-Have Skills

• Hands-on experience with Google Ads and Meta Ads
• Strong understanding of performance metrics (CPC, CPA, ROAS, CTR)
• Experience in conversion tracking and pixel implementation
• Knowledge of remarketing and audience segmentation
• Analytical mindset with strong problem-solving skills
• Ability to manage multiple campaigns simultaneously

Good to Have

• Experience in the travel industry (Flights, Hotels, Holidays)
• E-commerce or lead generation experience
• Landing page optimization skills
• Basic understanding of SEO and marketing funnels

Qualifications

• Bachelor’s degree in Marketing, Digital Marketing, or a related field
• 2–6 years of relevant experience

Job Title: QC Analyst – Animation Team (Mid-Level)

Location: Bangalore (On-site)

Experience: 2–4 Years (Mid-Level)

Employment Type: Full-Time

Joining: Immediate

About Squadra Media:

Squadra Media is a fast-growing creative and tech agency working with global brands to deliver bold, engaging, and user-centric digital experiences. We specialize in animation, motion graphics, content creation, and digital solutions. As we scale our animation team, we are looking for a Mid-Level QC Analyst to ensure the quality, consistency, and accuracy of our animation projects.

Key Responsibilities:

• Review animation projects to ensure technical and creative quality standards are met.
• Check for consistency in style, colors, timing, and overall visual fidelity.
• Identify errors, missing frames, or rendering issues and coordinate with the production team for corrections.
• Maintain QC checklists and documentation for all animation projects.
• Ensure final deliverables meet client requirements and internal standards.
• Support continuous improvement initiatives for QC processes.

Requirements:

• 2–4 years of experience in animation QC, post-production, or a similar role.
• Strong understanding of animation principles, motion graphics, and post-production pipelines.
• Proficiency in tools like Adobe After Effects, Premiere Pro, Photoshop, or other relevant software.
• Keen attention to detail with a strong visual eye for quality.
• Ability to work under tight deadlines in a fast-paced environment.
• Good communication skills for reporting issues clearly and collaborating with the team.

What We Offer:

• Opportunity to work on diverse animation projects for global clients.
• Collaborative, creative, and high-growth work culture.
• Professional development and growth opportunities within the animation and production domain.
• Immediate joining opportunity for the right candidate.

We are looking for a dynamic and skilled Digital Marketing Trainer with 2 to 3 teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Link Building, SEO, Digital Marketing, Social Media Ads, DM Executive

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

Job Description:

You will be working with a team of highly-motivated, young & dynamic teams of engineers & reporting to the Engineering Lead.

• Be honest, reliable & consistent
• Write efficient & clean code
• Have a strong sense of ownership
• Be a part of development & maintenance of Pluang web app, Operations dashboard and other 3rd party products we own
• Contribute to improving the quality of engineering process & engineering culture

• Strong in data structure and algorithms
• Experience in Node.js, Express, API Design & DOM
• Understanding of component based design or other design patterns
• Experience with unit testing, integration testing & continuous integration
• RDBMS and NoSQL databases preferably PostgreSQL, MongoDB
• Good to have passion for investing

• Attractive compensation package - competitive salary, flexible bonus scheme.
• We are always looking for ways to promote and inspire innovation.
• Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of multi-national IT professionals.
• Healthy work environment - company-sponsored medical program, food, and beverage program, open communication.
• Friendly policies to support Work-life balance, team building, and celebrations.

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required: 

• At least 2 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.

∙ Responsible to promote IT Product and Services in to the National/ International Market through lead Generation.

∙ To identify business opportunities and drive profitable new business with client mapping, cold-calling, focused email campaigns, presentations, etc.

∙ Manage entire Sales life-cycle including cold calling, prospecting, lead qualification, product/service presentation, proposal presentation and sales closure.