Job Description
As a member of the Customer Success Services organization, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications, according to CSS customer business requirements.
Responsibilities
Responsibilities:
Full Stack Development:
• Design, develop, and maintain scalable web applications using modern front-end and back-end technologies.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Implement and manage APIs and microservices.
Machine Learning Integration:
• Develop and integrate machine learning models into web applications.
• Collaborate with data scientists to understand and implement machine learning algorithms and models.
• Optimize machine learning models for performance and scalability.
• Stay updated with the latest trends and advancements in machine learning and AI.
Oracle APEX (concepts like APEX Reports, Dashboard Creation, User Types, Access Control, Shared Components, Feature Pages, Automations, REST APIs/Synchronisation in APEX)
Requirements:
Education:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience:
• 5+ years of experience in full stack development.
• Proven experience in integrating and deploying machine learning models in production environments.
Technical Skills:
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks/libraries like VBCS, React, Angular.
• Strong back-end development experience with Node.js, Python (Django, Flask), Ruby on Rails, or similar frameworks.
• Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Proficient in database technologies, Oracle database).
• Experience with cloud services (Oracle Cloud , AWS, Google Cloud, Azure) and containerization tools like Docker and Kubernetes.
• Familiarity with version control systems (Git) and CI/CD pipelines.
Soft Skills:
• Strong problem-solving skills and a proactive attitude.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Keen attention to detail and a passion for technology and innovation.
Preferred Qualifications:
• Experience with big data technologies such as Hadoop, Spark, or Apache Kafka.
• Familiarity with DevOps practices and tools.
• Knowledge of Agile/Scrum methodologies.
• Contributions to open-source projects or active participation in tech communities.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We’ve partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.
Disclaimer:
Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
* Which includes being a United States Affirmative Action Employer
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