Machine Learning Engineer
Description For Machine Learning Engineer
Oracle is seeking a Machine Learning Engineer to join their team in Bengaluru, India. This role requires 3-5+ years of experience and combines expertise in machine learning, computer vision, and natural language processing. The ideal candidate will work on designing and developing software solutions using Python, scikit-learn, and deep learning frameworks like TensorFlow, Keras, or PyTorch.
As a world leader in cloud solutions, Oracle offers a compelling opportunity to work on cutting-edge technology projects. The role involves building and enhancing software architecture, troubleshooting complex systems, and working in a cross-functional environment. The position requires strong Python programming skills, understanding of ML frameworks, and exposure to Java and cloud ecosystems.
Oracle provides a comprehensive benefits package including medical insurance, life insurance, and retirement options. The company culture promotes work-life balance and community involvement through volunteer programs. With over 40 years of industry presence, Oracle continues to innovate and maintain its position as a leading technology company.
The ideal candidate will be self-motivated, capable of working with limited supervision, and able to adapt to new machine learning frameworks. This role offers the opportunity to work on challenging problems while contributing to Oracle's mission of using tomorrow's technology to solve today's problems.
Responsibilities For Machine Learning Engineer
- Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks
- Apply basic to intermediate knowledge of software architecture
- Build enhancements within existing software architecture
- Suggest improvements to the architecture
Requirements For Machine Learning Engineer
- Experience as a Machine Learning Engineer
- Ability to write robust code in Python
- Good understanding of Python libraries like scikit-learn
- Good understanding of OpenCV and related computer vision libraries
- Good understanding of deep learning frameworks (like Tensorflow, Keras or PyTorch)
- Good understanding of NLP
- Ability to work with limited supervision
- Ability to pick up new Machine Learning Framework(s)
- Ability to work in a cross-functional environment
- Exposure working in Java and Cloud Ecosystem
- BS degree or equivalent experience
Benefits For Machine Learning Engineer
- Flexible medical insurance
- Life insurance
- Retirement options
- Volunteer programs
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