Cliply Pte Ltd
https://cliply.com.sgAbout
Turning content into a revenue-generating opportunity
Tech stack
Machine Learning (ML)Candid answers by the company
It was include working from SIngapore HQ for initial 2-3 months followed by remote working in India until an office opens in Bangalore
Company social profiles
Jobs at Cliply Pte Ltd
PythonRole 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:
- Video understanding / video ML
- Computer vision
- Speech/audio processing
- Natural language processing
- 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.
Similar companies
About the company
CAW Studios is Product Development Studio. WE BUILD TRUE PRODUCT TEAMS for our clients. Each team is a small, well-balanced group of geeks and a product manager that together produce relevant and high-quality products. We use data to make decisions, bringing big data and analysis to software development. We believe the product development process is broken as most studios operate as IT Services. We operate like a software factory that applies manufacturing principles of product development to the software.
Jobs
10
About the company
Jobs
69
About the company
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
Jobs
6
About the company
Jobs
0
About the company
Jobs
3
About the company
Jobs
8
About the company
Blitzy is a Boston, MA based Generative AI Start-up with an established office in Pune, India. We are on a mission to automate custom software creation to unlock the next industrial revolution. We're backed by multiple tier 1 investors, have success as founders at the last start-up, and dozens of Generative AI patents to our names.
Our Culture
Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.
Funding Journey
In September 2024, Blitzy secured $4.4M in seed funding from prominent investors including Link Ventures, Asymmetric Capital Partners, Flybridge, and four other strategic investors, demonstrating strong market confidence in their autonomous software development platform.
Our Values
- We move Blitzy Fast: Time is both our company's and our client's most precious asset. We move fast and fearlessly to innovate internally and deliver exceptional software externally to our clients.
- We have a Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- We have a Passion for Invention: We are inventors at heart. We value starting with best practices and open source, but we are pushing the frontier of what is possible.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships to deep, meaningful partnerships.
What We Ask of Candidates
Please ask yourself if you are ready for a challenge before applying. Even in optimal conditions, Start-Ups are hard, and are always a lot of work. What you do week to week will change. If this feels exciting, not concerning, that's a good sign.
Jobs
3
About the company
About Discover Dollar
Discover Dollar helps large enterprises recover lost profit through AP recovery audits, contract compliance reviews, and profit leakage prevention. We work with major retail, manufacturing, CPG, healthcare, and insurance organizations including Target, ABInBev, Carrier, Canadian Tire, etc., to find and recover money that falls through the cracks of complex procure-to-pay processes
Jobs
9
About the company
Shopflo is an enterprise technology company providing a specialized checkout infrastructure platform designed to boost conversion rates for direct-to-consumer (D2C) e-commerce brands. Founded in 2021, it focuses on enhancing the online buying experience through fast, customizable, and secure checkout pages that reduce cart abandonment.
We aim to supercharge conversions for e-commerce websites at checkout by improving user experience, helping build stronger intent and trust during the purchase
Problem statement -
(1) There is ~70% drop off at checkout for most independent e-commerce retailer (outside of large marketplaces)
(2) E-commerce cart platforms allow minimal flexibility on checkout, with their experience still same as the last decade
(3) Whereas user experiences are defined by new consumer platforms such as Swiggy, Amazon, etc.
There is a fundamental unbundling of monolith shopping cart platforms globally for mid-market and enterprise customers, who are moving towards headless (read modular) architecture.
Shopflo aims to be the global default for checkout experiences.
Jobs
0
