Sr. Machine Learning Scientist

5 - 9 years

0 Lacs

Posted:3 weeks ago| Platform: Shine logo

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Job Type

Full Time

Job Description

The company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. Working as one global team, they prioritize customers and emphasize taking care of oneself, each other, and the communities. Your way to impact: Identify AI ML opportunities and build solutions that impact the business Explore and execute to get solid results Your day to day: In your role, you will: Lead ML Projects and conduct research to identify new and innovative ML techniques. Innovate to create efficiencies for the team and the business. Work closely with other engineers, analysts, and leaders to implement and optimize ML models. Develop and implement best practices for ML model management, deployment, and monitoring. Collaborate with other teams to ensure ML models are integrated into the product and services. Assist with troubleshooting and resolving technical issues. Responsible for documentation, project tracking, and quality controls. What do you need to bring: The ideal candidate will possess a degree in engineering, science, statistics, or mathematics with a strong technical background in machine learning. Candidates should have excellent communication skills, an analytical mindset, and a passion for problem-solving. 5+ years of hands-on experience with problem-solving using Machine Learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required. In-depth knowledge of machine learning algorithms, explainable AI methods, GenAI, and NLP. Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with Lending and Financial services is a plus. Our Benefits: To learn more about our culture and community, visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion Please Join our Talent Community for any general requests for consideration of your skills. We encourage all candidates to apply, overcoming the confidence gap and imposter syndrome.,

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