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Manager, Machine Learning Engineering at PayPal

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Model Deployment, Model Optimization, TensorFlow, PyTorch, Scikit-learn, Cloud Platforms, AWS, Azure, GCP, AI Teams, ML Pipelines, Model Testing, Model Monitoring, Quantitative Fields

Industry

Software Development

Description

Design, Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Collaborate with various stakeholders to drive the right adoption and understand changing business needs Minimum of 8 years of relevant work experience and a bachelor's degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree Experience in setting up & nurturing AI / ML teams. Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.

Responsibilities

Design, develop, and optimize machine learning models for various applications while collaborating with cross-functional teams. Monitor and evaluate the performance of deployed models and drive adoption based on changing business needs.