Machine Learning Engineer - IV Computer Vision - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer - IV (Computer Vision) based in India.

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. This is a remote opportunity for an experienced ML professional passionate about computer vision innovation and real-world AI applications.

Accountabilities:

The role focuses on designing, developing, and scaling production-grade computer vision systems while driving technical excellence across machine learning initiatives.

• Lead the architecture, development, and optimization of computer vision solutions focused on biometric applications, including face detection, recognition, quality assessment, and attribute analysis.
• Build, train, evaluate, and improve machine learning models using frameworks such as PyTorch, TensorFlow, and/or JAX.
• Own end-to-end machine learning pipelines, including data ingestion, preparation, training workflows, deployment, and monitoring.
• Design automated data workflows using tools such as Airflow, ensuring high-quality, diverse, and balanced datasets for model development.
• Conduct fairness analysis and benchmarking of biometric models across different datasets and operating conditions to reduce bias and improve reliability.
• Optimize ML models for production environments through techniques such as quantization, distillation, TensorRT, and ONNX.
• Deploy and scale machine learning services using cloud infrastructure, including AWS-based environments.
• Mentor other machine learning engineers, contribute to technical reviews, and promote engineering best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performing AI solutions.

Requirements:

The ideal candidate brings strong expertise in machine learning, computer vision, and production AI systems, combined with excellent engineering and collaboration skills.

• 5+ years of professional experience in machine learning engineering, including at least 3 years focused on biometrics or face analysis.
• Deep knowledge of computer vision techniques, especially face recognition systems and image-based machine learning applications.