Machine Learning Engineer

5 days ago


Bengaluru, Karnataka, India Oracle Full time
Job Title: Machine Learning Engineer

We are seeking a talented Machine Learning Engineer to join our team at Oracle's Financial Services Analytical Applications group.

About the Role

The successful candidate will be responsible for designing and developing advanced machine learning models to identify fraudulent activity, including real-time transaction fraud and Identity Fraud and Cybercrime.

This is an exciting opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions that drive business growth.

Responsibilities
  • Design and develop machine learning algorithms to detect anomalies and predict outcomes
  • Collaborate with cross-functional teams to integrate machine learning models into existing systems
  • Analyze data to identify trends and patterns, and develop strategies to mitigate risks
  • Develop and maintain high-quality documentation and technical guides
  • Train and mentor junior engineers to improve skills and knowledge
Requirements

To be successful in this role, you will need:

  • A bachelor's degree in engineering, mathematics, or statistics
  • 2+ years of experience in building machine learning models in R, Python, or SAS
  • Hands-on expertise with SQL databases such as Oracle
  • Knowledge of the Apache Hadoop ecosystem, Apache Spark, Spark MLlib, and streaming systems
  • Excellent written and oral communication skills
Benefits

As a valued member of our team, you can expect:

  • A competitive salary range of $120,000 - $180,000 per year, depending on location and experience
  • A comprehensive benefits package, including medical, life insurance, and retirement planning
  • Ongoing training and professional development opportunities
  • A dynamic and inclusive work environment that values diversity and inclusion
About Us

Oracle is a leading provider of enterprise software solutions, with a rich history of innovation and excellence. We are committed to creating a workforce where all individuals can do their best work, and we believe that diversity and inclusion are key drivers of success.



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