Staff Machine Learning Engineer (Video Insights)

Job Summary:

As a Staff Software Engineer you will demonstrate strong independence and technical proficiency while collaborating effectively within the team. You will uphold a standard of excellence ensuring high-quality work and timely delivery of projects. Additionally you will serve as the functional lead within your domain providing guidance and expertise to team members.

About the team:

Subscriptions and Payments Team powers the end-to-end direct monetization engine for Indias largest subscription platform with over 250M subscriptions. We build scalable multi-tenant systems for acquiring users via D2C and partner channels reducing churn through intelligent renewal and retry mechanisms and integrating deeply with global and local payment ecosystems like UPI Autopay and card mandates. Our platform drives seamless onboarding high retention and reliable payments at scaleenabling frictionless subscription experiences across geographies and devices.

Key responsibilities:

• Fine-tune large video models (Vid-LLMs) using advanced techniques such as LoRA QLoRA and PEFT for specific video understanding tasks

• Design and implement efficient model adaptation pipelines for domain-specific video content and use cases

• Optimize model inference performance through quantization knowledge distillation and hardware-specific optimizations

• Conduct extensive experimentation and ablation studies to identify optimal model configurations and hyperparameters

• Build robust evaluation frameworks and metrics to assess model quality generalization and edge case performance

• Collaborate with research and product teams to translate business requirements into model tuning objectives

• Develop and maintain documentation of tuning methodologies lessons learned and best practices for the team

• Contribute to open-source projects and stay current with the latest advancements in multimodal AI and video understanding

Skills and attributes for success:

• 6 years of professional experience in machine learning engineering with specific focus on deep learning and model fine-tuning

• Advanced proficiency in Python and hands-on experience with deep learning frameworks (PyTorch preferred)

• Hands-on experience fine-tuning large language models and multimodal models using PEFT LoRA and similar techniques

• Strong understanding of video codecs video processing pipelines and streaming technologies

• Solid foundation in computer vision and deep learning fundamentals (CNNs Transformers attention mechanisms)

• Experience with model evaluation frameworks A/B testing and continuous experimentation infrastructure

• Proficiency with GPU-based training and inference optimization using CUDA or similar frameworks

• Excellent problem-solving skills and ability to debug complex ML systems in production

• Experience with version control (Git) and MLOps tools (MLflow Weights & Biases or similar)

Preferred education and experience:

• BE/ in Computer Science Electrical Engineering AI or a related technical field with 7 to 9 Yrs of experience MS or PhD in ML/AI a plus