AI Research Scientist, AI Engineering

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as an AI Research Scientist, AI Engineering and Operations on our Data Science Team in Austin, Texas.

What you’ll achieve
As a AI Research Scientist, AI Engineering and Operations, with a focus on engineering and operations, you’ll bridge the gap between theoretical research and practical implementation, ensuring that AI technologies are not only innovative but also efficiently deployed you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Leverage your knowledge of MLOps (Machine Learning Operations) to streamline the deployment, monitoring, and management of machine learning models and collaborate with data scientists and engineers to create robust pipelines for model training, testing, and deployment

• Write efficient, maintainable code for AI applications and automation tasks, including driving automation efforts within the research organization and automate repetitive tasks, data preprocessing, and model deployment processes

• Manage server infrastructure for AI applications and understand the entire AI stack, including data collection, preprocessing, model training, and deployment.

• Create compelling visualizations to communicate insights from AI models.

• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders and communicate effectively to translate research findings into practical solutions, tackle complex problems related to AI engineering and operations along with propose novel solutions and contribute to the advancement of AI technologies

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• 5 to 8 years of related experience

• Python, automation and server operations skills

• MLOps skills

• AI stack knowledge

• Documentation, communication and problem-solving skills

Desirable Requirements

• Bachelor’s degree / PhD degree is an asset

• Ability to work in a team environment

Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is $135,000 - $167,000.

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

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