Consultant Data Science

AI/ML Engineer

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 a Data Science AI/ML Engineer on our Data Science team in Cork, Ireland.

Working closely with the business, including stakeholders and essential partners internally at Dell Technologies, you will design, build and productionize end-to-end machine learning solutions & products for our business and customers. Be a part of a dynamic team shaping the future of data science and AI. At Dell Technologies, you’ll have the opportunity to work on groundbreaking projects and grow professionally in a thriving, innovative environment. We’re excited for you to discover the impact you can make as an AI/ML Engineer at Dell Technologies.

You will:

• Develop Gen AI-based solutions to tackle real-world challenges using extensive datasets of text, images, and more

• Design, deploy, and manage experiments; research new algorithms and optimization methods

• Build and maintain data pipelines and platforms to operationalize Machine Learning models at scale

• Demonstrate a passion for blending software development with Gen AI and ML

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

• Design, implement, test, deploy, and maintain ML solutions within Dell's services organization

• Engage in design discussions, code reviews, and interact with various stakeholders

• Collaborate across functions to influence business solutions with technical expertise

• Thrive in a startup-like environment, focusing on high-priority tasks

Desired Requirements

• Proficiency in Data Science Platforms (Domino Data Lab, Microsoft Azure, AWS, Google Cloud) | Deep knowledge in ML, data mining, statistics, NLP, or related fields | Experience in object-oriented programming (C#, Java) and familiarity with Python, Spark, TensorFlow, XGBoost | Experience in productionizing ML models and scaling them for low-latency environments | Proficient in Data Mining, ETL, SQL OLAP, Teradata, Hadoop

• 8+ years of related experience with a bachelor’s degree; or 6+ years with a Master’s; or 3+ years with a PhD; or equivalent experience | Knowledge in cloud-native computing, DevOps, data streaming, parallelized workloads (Docker, Kubernetes, TDD, CI/CD)

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.

Application closing date: 30th May 2024

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.

Dell’s Flexible & Hybrid Work Culture

At Dell Technologies, we believe our best work is done when flexibility is offered.

We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.