ML Engineer - Computer Vision

This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 5500000 (ie INR 20-55 LPA)

Min Experience: 3 years

Location: Bengaluru

JobType: full-time

Join a team at the forefront of AI innovation, where your work will power critical product features such as object detection, image segmentation, and real-time video analytics. You'll collaborate with data scientists, software engineers, and product managers to build scalable and high-performance vision-driven solutions that deliver real impact.

Requirements

Key Responsibilities:

Model Development & Optimization

• Design, develop, and fine-tune ML models for core computer vision tasks like object detection, image classification, segmentation, and anomaly detection.
• Experiment with state-of-the-art architectures (CNNs, Transformers, GANs, etc.) to enhance model performance and efficiency.
• Implement rigorous testing frameworks to validate model accuracy and reliability in production settings.

Data Pipeline & Processing

• Build and maintain robust data pipelines for processing large-scale image and video datasets.
• Collaborate with data engineers to ensure efficient data ingestion, storage, and retrieval workflows.
• Apply data preprocessing, augmentation, and labeling techniques to maintain high data quality.

Deployment & Scaling

• Work with DevOps and engineering teams to deploy models in production across cloud and edge environments.
• Optimize models for real-time performance and scalability.
• Monitor model behavior post-deployment and implement iterative improvements.

Research & Innovation

• Stay current with the latest advancements in computer vision and machine learning.
• Prototype and evaluate emerging tools, frameworks, and techniques to push the boundaries of AI capabilities.
• Share learnings and research insights internally to support a culture of continuous innovation.

Collaboration & Communication

• Align model development with product goals by working closely with cross-functional teams.
• Document technical decisions, model architectures, and experimental outcomes clearly and thoroughly.
• Mentor junior engineers and actively contribute to team knowledge sharing.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
• 3+ years of experience in ML, with a focus on computer vision applications.
• Strong Python skills and experience with deep learning frameworks like PyTorch, TensorFlow, or similar.
• Deep understanding of vision algorithms, neural networks, and image processing.
• Hands-on experience with large-scale image/video datasets and model deployment strategies.
• Excellent problem-solving abilities and a passion for innovation.