Senior Machine Learning Engineer - Computer Vision (Remote)

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead advanced computer vision and biometric solutions, design ML systems, optimize models, and collaborate cross-functionally in a high-impact tech environment.

Key Highlights

Design, train, and scale ML systems for identity verification and digital trust

Collaborate with experienced engineers and cross-functional teams

Mentor other ML engineers and promote best practices

Key Responsibilities

Design, develop, and scale production-grade computer vision systems

Build, train, evaluate, and improve ML models using frameworks like PyTorch and TensorFlow

Own end-to-end ML pipelines, including data ingestion, preparation, training workflows, deployment, and monitoring

Conduct fairness analysis and benchmarking of biometric models to reduce bias

Optimize ML models for production environments using techniques like quantization and TensorRT

Deploy and scale ML services using cloud infrastructure, including AWS-based environments

Mentor other ML engineers and contribute to technical reviews

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Technical Skills Required

Machine Learning Computer Vision Python

Benefits & Perks

Fully remote work opportunity

Competitive compensation package

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Nice to Have

Research publications in computer vision

Experience with vector databases, edge/mobile AI deployment, or AI-assisted development tools

Job Description

This role offers the opportunity to lead the development of advanced computer vision and biometric solutions in a high-impact technology environment.You will design, train, and scale machine learning systems that improve identity verification and digital trust worldwide.The position combines deep technical ownership with opportunities to influence architecture, model performance, and production ML operations.You will work on challenging problems involving face recognition, fairness, data quality, and AI-driven automation.Collaborating with experienced engineers and cross-functional teams, you will help build reliable, ethical, and scalable AI systems.

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