Description
At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Join us and build an exceptional experience for yourself, contributing to a better working world for all. Collaborate with senior data scientists to build, fine-tune, and evaluate generative AI models for various applications. This role involves implementing data pipelines, developing machine learning algorithms, and translating technical findings into actionable insights for non-technical stakeholders.
Company Culture and Environment
EY focuses on high ethical standards and integrity, fostering an inclusive culture where diversity is embraced. Employees are empowered to use their voice and contribute to meaningful change.
Career Growth and Development Opportunities
The role offers continuous learning opportunities and transformative leadership, enabling you to develop the skills needed to navigate future challenges and make a significant impact in your career.
Detailed Benefits and Perks
• Flexible vacation policy allowing you to decide your vacation time based on personal circumstances.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
• Commitment to reasonable accommodation for qualified individuals with disabilities.
Compensation and Benefits
The base salary range for this role in the US is \(75,500 to \)137,000. In specific areas like New York City Metro, Washington State, and California, it ranges from \(90,600 to \)155,700. Additional benefits include:
• Medical and dental coverage.
• Pension and 401(k) plans.
• Recognition of performance and contributions to the business.
Why you should apply for this position today
Joining EY means being part of a diverse team that asks better questions and finds new answers to complex issues. You will contribute to long-term value creation for clients and society while being supported in your professional growth.
Skills
• 5+ years of experience in machine learning and data processing.
• Experience with generative LLM fine-tuning and prompt engineering.
• Proficiency in programming languages, particularly Python.
• Knowledge of cloud ecosystems (preferably Azure) and containerization platforms like Docker.
• Experience with distributed computing tools (e.g., GCP, AWS, MS Azure, Hadoop, Spark).
• Strong analytical and problem-solving skills.
Responsibilities
• Collaborate with data scientists on generative AI models.
• Implement AI solutions that integrate with business systems.
• Review complex data sets for quality assurance.
• Automate infrastructure for the data science team.
• Stay updated with AI trends and suggest improvements.
Qualifications
• Strong analytical skills and problem-solving ability.
• Excellent communication, collaboration, and presentation skills.
• A self-starter with a curious and creative mindset.
• Attention to detail and high levels of integrity.
Education Requirements
• Bachelor’s degree in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields preferred.
Education Requirements Credential Category
Bachelor’s degree in a relevant field preferred.
Experience Requirements
• At least 5 years of relevant experience in machine learning and data science.
• Proven experience in both structured and unstructured data processing.
Why work in Austin, TX
Austin is known for its vibrant culture, music scene, and tech-driven economy. With a strong community of innovators and entrepreneurs, the city offers a dynamic environment for those seeking professional growth and creativity. The warm climate and outdoor recreational opportunities further enhance the quality of life, making Austin an attractive place to live and work.
Location: Austin, TX
Posted: Oct. 30, 2024, 4:09 a.m.
Apply Now Company Website