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Sr Video ML Engineer (Founding Team)
Sr Video ML Engineer (Founding Team)
Cliply Pte Ltd's logo

Sr Video ML Engineer (Founding Team)

Ariba Khan's profile picture
Posted by Ariba Khan
5 - 12 yrs
Upto ₹55L / yr (Varies
)
Remote only
Skills
skill iconPython
Video Editing
Multi-modal AI
Computer Vision
Natural Language Processing (NLP)
PyTorch
TensorFlow

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.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Cliply Pte Ltd

Founded :
2025
Type :
Product
Size :
0-20
Stage :
Bootstrapped

About

Turning content into a revenue-generating opportunity

Read more

Tech stack

skill iconMachine Learning (ML)
Video
Computer Vision
Multimodal fusion
Natural Language Processing (NLP)
Speech Processing
Audio processing

Candid answers by the company

What is the location preference of jobs?

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

linkedin

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