ETL Developer

Role & Responsibilities

This is not just another dev job. You’ll help engineer the backbone of the world’s first AI Agentic manufacturing OS.

You will:

• Build and own features end-to-end — from design → deployment → scale.
• Architect scalable, loosely coupled systems powering AI-native workflows.
• Create robust integrations with 3rd-party systems.
• Push boundaries on reliability, performance, and automation.
• Write clean, tested, secure code → and continuously improve it.
• Collaborate directly with Founders & Snr engineers in a high-trust environment.

Our Tech Arsenal:

• We believe in always using the sharpest tools for the job. On that end we always try to remain tech agnostic and leave it up to discussion on what tools to use to get the problem solved in the most robust and quick way.
• That being said, our bright team of engineers have already constructed a formidable arsenal of tools which helps us fortify our defense and always play on the offensive. Take a look at the Tech Stack we already use.

Ideal Candidate

• Strong Full stack/Backend engineer profile
• Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
• Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
• Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
• Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding
• Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
• Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
• Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
• Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
• Mandatory (Company) : Product companies (B2B SaaS preferred)
• Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)
• Preferred (Location) - Mumbai, Bangalore
• Preferred (Skills) : Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
• Preferred (Education) : B.Tech from Tier 1,Tier 2 institutes

We are currently hiring Software Sales Executives and are looking for enthusiastic fresh graduates, final-year students, MBA who are interested in building a career in Software Sales, Lead Generation, Business Development, and Client Relationship Management,  AI Powered Sales etc.

Role Overview

The Senior AI/ Machine Learning Engineer will design, build, and optimise the core intelligence layer that powers Cliply’s video understanding and content analysis platform.

This role blends deep hands-on engineering with architectural ownership. You will work across video, audio, and text modalities, shaping model design while also delivering production-ready ML systems. You will be the technical anchor for Cliply’s AI stack, partnering closely with the Lead Architect and the engineering team to bring research concepts into scalable, real-world systems.

Key Responsibilities

Multimodal & Video ML Architecture

• Design and validate deep learning architectures for video, audio, and text understanding, including temporal modelling and multimodal fusion.
• Define approaches for long-sequence modelling, representation learning, and sequence-to-sequence tasks.
• Lead experiments with transformers, vision transformers, video encoders, and hybrid multimodal architectures.

Model Development & Optimisation

• Build and optimise models for content understanding, highlight detection, ranking, and scoring.
• Implement training pipelines, data loaders, augmentations, and evaluation metrics for large-scale video datasets.
• Optimize models for latency, throughput, and GPU efficiency using techniques such as quantization, pruning, distillation, batching, and ONNX/TensorRT.

Production ML Engineering

• Convert prototypes into robust, production-ready services.
• Collaborate with backend engineers to deploy models via scalable APIs and micro-services.
• Monitor model performance in production and design retraining loops for continuous improvement.

Technical Leadership

• Establish best practices for experimentation, evaluation, documentation, and reproducibility.
• Provide mentorship to junior engineers and contribute to Cliply’s long-term AI roadmap.
• Influence architectural decisions across the AI stack to ensure scalability and reliability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 5–10+ years of experience as an ML Engineer, Applied Scientist, or similar role.
• Strong proficiency in PyTorch or TensorFlow, with hands-on experience training deep learning models.
• Deep expertise in multimodal video machine learning,
• Expertise in at least two of the following:

1. Video understanding / video ML
2. Computer vision
3. Speech/audio processing
4. Natural language processing
5. Multimodal fusion

• Experience with GPU training, distributed training, and large-scale datasets.
• Strong understanding of model optimization (quantization, pruning, distillation, ONNX/TensorRT).
• Solid software engineering fundamentals (Python, version control, testing, code review).

Preferred Qualifications

• Experience with multimodal architectures (video-text, audio-text, cross-modal transformers).
• Experience with MLOps tooling (MLflow, Weights & Biases).
• Prior work in startup environments or fast-paced product teams.
• Contributions to open-source ML projects or competitive ML experience (e.g., Kaggle).

Why Join Cliply

• Build the core intelligence layer of a next-generation video understanding platform.
• Own end-to-end architecture and model design - your work becomes the product.
• Work with a founder-led team that values technical excellence, autonomy, and speed.
• Shape the future of multimodal AI in a real product used by creators and enterprises.

What you’ll do

• Build and ship features end-to-end using the MERN stack
• Use AI tools to speed up development, solve bugs, and learn new patterns
• Collaborate with product and design to turn ideas into UI + backend logic
• Write clean, reusable code with proper structure and Git practices
• Learn best practices in architecture, API design, and performance
• Take feedback, grow fast, and own your work

Must-Haves:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 2-3 years of experience with the MERN stack
• Good understanding of JavaScript (or TypeScript), REST APIs, and MongoDB
• Clear logic, curiosity, and the ability to Google smartly
• Eagerness to learn, experiment, and grow with the team
• Comfortable using AI tools to assist in dev

Nice-to-Have:

• Exposure to tools like Firebase, Next.js, or Vercel
• Any live projects, GitHub repos, or portfolio sites
• Basic understanding of cloud deployment 

• Actively work with Product Managers to scope out and plan projects
• Be actively involved in hiring and growing our engineering team
• Plan and organize sprints with a highly ambitious group of engineers
• Actively work with engineers helping them break roadblocks throughout the sprints
• Involved in building and reviewing Project Architecture
• Actively review Code, Product and API Specifications
• Develop engineers on the team and help them advance in their careers
• Care about agility as much you care about scalability and availability
• Build and help us evolve our culture
• Teams at Our Company is expected to be comfortable working across the stack, delivering new features and products from start to finish
• Most products are Ruby on Rails applications with ReactJS frontends. We have PostgreSQL for most of our storage, and everything is hosted on AWS

• Clear and influential in both, writing and person
• Being a role model for the team
• Bringing-in the experience of building and scaling system to 100x
• Programming expert - help team resolve programming related issues as quickly as possible and introduce the team to better ways of building products.

• Opportunity to work with "India’s leading B2B" E-commerce venture. The company grew its revenue by more than 5.5x last year to reach to a 350 Cr annual revenue run rate scale. We invite you to be part of the upcoming growth story of B2B sector through Us.
• Opportunity to work with most dynamic individuals in Asia recognized under Forbes 30 Under 30 and industry stalwarts from across companies like Microsoft, Paypal, Gravitas, Parksons, ITC, Snapdeal, Fedex, Deloitte and HUL
• Our Company is featured in LinkedIn Top Startups 2019: The 25 hottest Indian companies to work for!
• Working here translates into being a part of a dynamic start-up with some of the most enthusiastic, hardworking and intelligent people in a fast paced and electrifying environment
• Our company has been awarded as the most Disruptive Procurement Startup of the year - 2017
• Being a company that is expanding itself every day and working towards exploring newer avenues in the market, every employee grows with the company
• The position provides a chance to build on existing talents, learn new skills and gain valuable experience in the field of Ecommerce

• This is mainly a full stack position .net or Java experience
• Full Stack Experience in Angular 5+ along with Dot Net is preferred
• Dot Net experience in C#,Entity framework in Postgre SQL,Restful web services,Azure and AWS cloud solutions,HTML5,CSS3,JavaScript and Bootstrap and Angular