MLE 4 (Biometrics)

Start Date

Starts Immediately

CTC (ANNUAL)

Competitive salary Competitive salary

Experience

5 year(s)

5 year(s)

Apply By

Not Provided

Posted today

Job

Be an early applicant

About the job

Roles and Responsibility -

- Lead the design and development of computer vision systems for biometrics (face attributes,

detection, quality, and recognition)

- Rigorous fairness analysis and benchmarking of biometric models across various datasets and

operating conditions.

- Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
- Own and evolve end-to-end ML pipelines, from data ingestion to deployment.
- Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
- Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
- Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

What Were Looking For

- Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
- Deep expertise in computer vision and biometrics, especially face recognition.
- Fairness & Ethics:



You understand the sources of algorithmic bias in Computer Vision and have

practical experience measuring and mitigating disparate impact.

- Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc).
- You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
- Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).

Earn certifications in these skills

+ 6 more skills

Who can apply

Only those candidates can apply who:

1. have minimum 5 years of experience

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Market-competitive salary

Number of openings

1

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.

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📌 MLE 4 (Biometrics) (WFH)
🏢 Talentoj
📍 India