Talentoj
Website:
talentoj.com
Job details:
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 We’re 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).
Click on Apply to know more.