Machine Learning Engineer IV - Biometrics (India)

Machine Learning Engineer IV - Biometrics (India)

16 Aug
|
HuntingCube Recruitment Solution
|
India

16 Aug

HuntingCube Recruitment Solution

India

About the Role :

We are looking for a Machine Learning Engineer with robust expertise in Computer Vision and Biometrics to design, build, and scale production-grade face recognition systems. The ideal candidate should have hands-on experience developing deep learning models, optimizing them for real-time inference, and deploying end-to-end ML pipelines on cloud infrastructure.

Key Responsibilities :

- Design and develop computer vision models for face detection, face recognition, face quality assessment, and facial attribute analysis.
- Train, fine-tune, and optimize deep learning models using PyTorch, TensorFlow, and/or JAX.
- Build and maintain end-to-end ML pipelines covering data ingestion, preprocessing, training, deployment, and monitoring.
- Design automated data pipelines using Apache Airflow.
- Curate balanced datasets and leverage synthetic data generation techniques to improve model quality and diversity.
- Optimize models for production inference using ONNX, TensorRT, quantization, and model distillation.
- Deploy and manage ML workloads on AWS (SageMaker, EC2, EKS).




- Perform benchmarking, fairness analysis, and performance evaluation across diverse datasets.
- Collaborate with engineering and product teams to build scalable, low-latency biometric solutions.
- Mentor engineers and participate in architecture and design reviews.

Required Skills :

- 5+ years of industry experience in Machine Learning.
- Minimum 3 years of hands-on experience in Biometrics, Face Recognition, Face Verification, or Face Analysis.
- Strong expertise in Computer Vision and Deep Learning.
- Hands-on experience with PyTorch, TensorFlow, or JAX.
- Strong programming skills in Python.
- Experience with OpenCV and related computer vision libraries.
- Experience building production-grade ML pipelines.
- Hands-on experience with AWS (SageMaker, EC2, EKS).
- Experience with Kubernetes, Docker, and cloud-native deployments.
- Experience optimizing models for low-latency inference.

📌 Machine Learning Engineer IV - Biometrics (India)
🏢 HuntingCube Recruitment Solution
📍 India

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