Digital Marketing Internship

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

Location : Bengaluru, India

Type : Full-time

Experience :4-7 Years

Mode :Hybrid

The Role

We're looking for a Full Stack Engineer who thrives on building high-performance applications at scale. You'll work across our entire stack—from optimizing PostgreSQL queries on 140M+ records to crafting intuitive React interfaces. This is a high-impact role where your code directly influences how sales teams discover and engage with prospects worldwide.

What You'll Do

• Build and optimize REST APIs using Django REST Framework handling millions of records
• Design and implement complex database queries, indexes, and caching strategies for PostgreSQL
• Develop responsive, high-performance front-end interfaces with Next.js and React
• Implement Redis caching layers and optimize query performance for sub-second response times
• Design and implement smart search/filter systems with complex logic
• Collaborate on data pipeline architecture for processing large datasets
• Write clean, testable code with comprehensive unit and integration tests
• Participate in code reviews, architecture discussions, and technical planning

Required Skills

• 4-7 years of professional experience in full stack development
• Strong proficiency in Python and Django/Django REST Framework
• Expert-level PostgreSQL knowledge: query optimization, indexing, EXPLAIN ANALYZE, partitioning
• Solid experience with Next.js, React, and modern JavaScript/TypeScript
• Experience with state management (Zustand, Redux, or similar)
• Working knowledge of Redis for caching and session management
• Familiarity with AWS services (RDS, EC2, S3, CloudFront)
• Understanding of RESTful API design principles and best practices
• Experience with Git, CI/CD pipelines, and agile development workflows

Nice to Have

• Experience with Elasticsearch for full-text search at scale
• Knowledge of data scraping, ETL pipelines, or data enrichment
• Experience with Celery for async task processing
• Familiarity with Tailwind CSS and modern UI/UX practices
• Previous work on B2B SaaS or data-intensive applications
• Understanding of security best practices and anti-scraping measures

Our Tech Stack

Backend

Python, Django REST Framework

Frontend

Next.js, React, Zustand, Tailwind CSS

Database

PostgreSQL 17, Redis

Infrastructure

AWS (RDS, EC2, S3, CloudFront), Docker

Tools

GitHub, pgBouncer

Why Join Us

• Work on a product processing 140M+ records—real scale, real challenges
• Direct impact on product direction and technical decisions
• Modern tech stack with room to experiment and innovate
• Collaborative team environment with a focus on growth
• Competitive compensation and flexible hybrid work model

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

Responsibilities

• Build relationships with prospective clients
• Must be comfirtable with cold calling
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's degree 2+ years in sales industry
• Experience in full sales cycle including deal closing Demonstrated sales success
• Strong negotiation skills
• Strong communication and presentation skills
• CRM experience is preferred

Salary - Up to 22k In hand

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking, and social media.

2. Calling 65-70 leads every day

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve the department’s sales goals on a monthly, quarterly, and yearly basis (3L revenue per month)

7. “Go the extra mile” to drive sales

What are we looking for?

Greetings from Zealous Services !!!

Looking for your career in 3D Modelling and Animation Field???

We have Immediate requirements for 3D Trainees.

Contact : DIANA HR
Experience: Freshers

Designation: 3D Trainee

Age Limit: 18-26 yrs

Training Period: 2 months (with monthly Stipend)

Flexible to work in Rotational Shifts (Fixed Day shifts for Female Candidates).

Chennai Candidates preferred.

Educational Qualifications: Any Graduates can apply (2020 - 2022 passed outs)

We are looking for a motivated PHP / Laravel Developer to come join our agile team of professionals.

If you are passionate about technology, constantly seeking to learn and improve your skillset, then you are the type of person we are looking for!

We are offering superb career growth opportunities, compensation, and benefits.

Required Skills :-

Knowledge of MVC Frameworks - Laravel is a must

Previous working experience as a PHP / Laravel developer for 1 or 2 year(s)

Basic JavaScript, HTML5, and CSS3 Bootstrap

A web application development background

OOP principles

Experience with Relational Databases like MySQL

Problem-solving skills.

Intro

We are looking for an Software Engineer (SDE1) to join our team and drive the technology growth of our pay later platform. At Rely, we want passionate and talented individuals that want a challenge building the next generation payment products for Millennials across Asia. Together we will build the best products using amazing technology.

What will you do

• Design and implement business critical, high performance large scale services.
• Translate business requirements into scalable and extensible design.
• Coordinate with cross functional teams (Data, UX, QA etc.) on planning and execution.
• Continuously improve code quality, product execution and customer delight.
• Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies.
• Building and managing automated build/test/deployment environments.
• Work with team members on functional and nonfunctional requirements and spread goals across the team.
  
  

What will you need

• 2+ years of hands-on experience with python and a backend framework (ideally django)
• 1+ years Hands-on experience working with Javascript and JS frameworks (Angular, React)
• Hands-on experience in designing, developing, testing and deploying applications large scale applications in any language or stack
• Experience working with high scale distributed systems.
• Practical knowledge of scalable software design.
• Good working knowledge of AWS
• Proficient with APIs, web protocols, OAuth, git.
• Ability to understand and implement Continuous Integration and Continuous Delivery.
• Well versed with Lean methodologies, TDD and Test Engineering and Automation.
• Ability to design and implement low latency RESTful services.
• Willingness to learn new languages and methodologies.

What would be a bonus

• Experience in production environments with large data sets
• Experience in scaling systems to millions of users.
• Work experience in a fast-growth startup
• Experience in DevOps tools but not limited to Docker, Kubernetes
• Experience in Gunicorn and Nginx