Senior Staff Machine Learning Engineer (Video Insights)

2 hours ago

Bengaluru, IndiaStaff+

Responsibilities

Fine-tune large video and multimodal language models using LoRA, QLoRA, PEFT, and related techniques.
Design efficient model adaptation pipelines for domain-specific video understanding tasks.
Optimize model inference using quantization, knowledge distillation, and hardware-specific techniques.
Conduct experimentation and ablation studies to identify effective model configurations and hyperparameters.
Build evaluation frameworks and metrics for model quality, generalization, and edge-case performance.
Collaborate with research and product teams to define model-tuning objectives from business requirements.
Document tuning methodologies, lessons learned, and team best practices.
Contribute to open-source projects and track advances in multimodal AI and video understanding.
Serve as a functional lead by providing technical guidance and expertise to team members.

7+ years of professional machine learning engineering experience focused on deep learning and model fine-tuning.
Advanced proficiency in Python and hands-on experience with deep learning frameworks, preferably PyTorch.
Experience fine-tuning large language models and multimodal models with PEFT, LoRA, or similar methods.
Strong understanding of video codecs, video processing pipelines, and streaming technologies.
Strong foundation in computer vision and deep learning fundamentals, including CNNs, Transformers, and attention mechanisms.
Experience with model evaluation frameworks, A/B testing, and continuous experimentation infrastructure.
Experience optimizing GPU-based training and inference with CUDA or similar frameworks.
Ability to debug complex machine learning systems in production.
Experience with Git and MLOps tools such as MLflow or Weights & Biases.
BE/B.Tech in Computer Science, Electrical Engineering, AI, or a related technical field, with 9 to 12 years of experience stated as preferred education and experience.
MS or PhD in ML/AI is a plus.

501-1,000 employees

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