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Machine Learning Engineer 3

Fresher Pune, All India 19 Jan, 2026

Job Location	Pune, All India
Education	Not Mentioned
Salary	Not Disclosed
Industry	IT Services & Consulting
Functional Area	Not Mentioned
EmploymentType	Full-time

Job Description

Role Overview:You will design and implement machine learning (ML), deep learning, and classical computer vision (CV) algorithms for liveness detection. Your responsibilities will include conducting research to support the deployment of advanced algorithms, developing, evolving, and supporting production-quality code, deploying models as AWS SageMaker endpoints or directly onto devices, and staying updated with advancements in deep learning, computer vision, and biometric verification. Additionally, you will collaborate with engineers and product managers in an Agile environment.Key Responsibilities:- Design and implement ML, deep learning, and classical CV algorithms for liveness detection- Conduct research to support deployment of advanced algorithms- Develop, evolve, and support production-quality code- Deploy models as AWS SageMaker endpoints or directly onto devices- Stay updated with advancements in DL, CV, and biometric verification- Collaborate with engineers and product managers in an Agile environmentQualifications Required:- Bachelors or Masters in Computer Science, Data Science, Machine Learning, or related fields- 5 years of commercial experience (or 2 with Masters) in computer vision or related areas- Strong proficiency in computer vision and deep learning techniques- Hands-on experience with PyTorch/TensorFlow, OpenCV, SKLearn, and production-grade Python- Experience monitoring and maintaining ML models in production- Experience building, training, and deploying ML models- Strong communication and problem-solving skills Role Overview:You will design and implement machine learning (ML), deep learning, and classical computer vision (CV) algorithms for liveness detection. Your responsibilities will include conducting research to support the deployment of advanced algorithms, developing, evolving, and supporting production-quality code, deploying models as AWS SageMaker endpoints or directly onto devices, and staying updated with advancements in deep learning, computer vision, and biometric verification. Additionally, you will collaborate with engineers and product managers in an Agile environment.Key Responsibilities:- Design and implement ML, deep learning, and classical CV algorithms for liveness detection- Conduct research to support deployment of advanced algorithms- Develop, evolve, and support production-quality code- Deploy models as AWS SageMaker endpoints or directly onto devices- Stay updated with advancements in DL, CV, and biometric verification- Collaborate with engineers and product managers in an Agile environmentQualifications Required:- Bachelors or Masters in Computer Science, Data Science, Machine Learning, or related fields- 5 years of commercial experience (or 2 with Masters) in computer vision or related areas- Strong proficiency in computer vision and deep learning techniques- Hands-on experience with PyTorch/TensorFlow, OpenCV, SKLearn, and production-grade Python- Experience monitoring and maintaining ML models in production- Experience building, training, and deploying ML models- Strong communication and problem-solving skills

Keyskills :
deep learningOpenCVPythonclassical CV algorithmsAWS SageMakerbiometric verificationPyTorchTensorFlow

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