Machine Learning Engineer 2

The Office of the CTO at Dell Technologies is responsible for predicting
future technology trends and recommending investment strategies based on those
trends. The Data Office team uses leading technologies in order to use data to
predict future technology trends.
You will be involved in assessing the competition, developing technology and
products, and generating intellectual property. As a Machine Learning
Engineer , you will join a global team of data scientists, data engineers,
developers, researchers, and technologists in researching and applying the
latest ML and DL technologies, leveraging the Data power in adding innovation
value to business strategic decisions.
What you'll achieve:
As a Machine Learning Engineer, you will work with a cross functional global
team to build and deploy state of the art ML and DL technologies.
You Will:
* Apply common and advanced machine learning techniques to create deployable models on large-scale data. This requires knowledge of a broad range of supervised and unsupervised learning techniques.
* Use best practices for code optimization, model and system validation, and model governance.
* Engineer and document model governance for a variety of large-scale business use cases with low latency requirements.
* Optimize code for existing data streams, machine learning models, and APIs using best practices in software engineering and experimental design.
* Perform end-to-end steps involved in model development, while establishing subject-matter expertise in key horizontal or vertical themes.
* Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
* Build processes supporting data transformation, data structures, metadata, dependency and workload management.
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:
* ‎2-‎5 Years of Experience.
* Strong mathematical and statistical knowledge and applied skills
* Proficiency in relational SQL and NoSQL databases, including Postgres and Cassandra.
* Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
* Proficient in object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
* Ability to work in a team environment.
* Good understanding of business environment and industry trends.
* Good communication and problem solving skills
Desirable Requirements:
* Build processes supporting data transformation, data structures, metadata, dependency and workload management.
* Working knowledge of big data technologies
Here's our story; now tell us yours
Dell Technologies helps organizations and individuals build a brighter digital
tomorrow. Our company is made up of more than ‎150,000 people, located in over
‎180 locations around the world. We're proud to be a diverse and inclusive team
and have an endless passion for our mission to drive human progress.

What's most important to us is that you are respected, feel like you can be
yourself and have the opportunity to do the best work of your life - while
still having a life. We offer excellent benefits, bonus programs, flexible
work arrangements, a variety of career development opportunities, employee
resource groups, and much more.

We started with computers, but we didn't stop there. We are helping customers
move into the future with multi-cloud, AI and machine learning through the
most innovative technology and services portfolio for the data era. Join us
and become a part of what's next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion
Report and our plan to make the world a better place by ‎2030 here.

Application closing date: ‎30 October ‎2023

Dell 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. All employment decisions at Dell are based on
business needs, job requirements and individual qualifications, without regard
to race, color, religion or belief, national, social or ethnic origin, sex
(including pregnancy), age, physical, mental or sensory disability, HIV
Status, sexual orientation, gender identity and/or expression, marital, civil
union or domestic partnership status, past or present military service, family
medical history or genetic information, family or parental status, or any
other status protected by the laws or regulations in the locations where we
operate. Dell will not tolerate discrimination or harassment based on any of
these characteristics. Dell encourages applicants of all ages.
Job ID: R224080

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.