Consultant – Machine Learning Operations

Overview

Consultant – Machine Learning OperationsDublin, Ireland.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, including LLMs. 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.Our data scientists & engineers are helping to shape our marketing strategy for a digital world and at scale. We are looking for a DevOps Engineer to take care of our Machine Learning Models in production.What you’ll achieve:This position will merge DevOps, software engineering, data science, and data engineering to deploy machine learning models that can optimize… business and customer experiences at scale. You will use your technical knowledge and software development to build technology-centric solutions that accelerate the development of Artificial Intelligence and Machine Learning capabilities across the company.You will take out the debate of what can be launched and when. The models that we build are essential ingredients to supply our customers & sales with relevant product recommendations and creative breakthroughs for our business. You & your team are critical to our success!You will:Develop high availability and highly scalable applications, which will be used by both internal and external customers.Participate in product development in all stages from planning and design to development, testing, and documentation of ML solutions and data products.Generate technical documentation as well as unit and functional tests.Adhere to DevSecOps practices to protect underlying data/infrastructure assets.Utilize a range of applicable technologies across the entire Model Lifecycle (e.g., data science packages, statistical and machine learning techniques, distributed computing, Big Data, CI/CD).Take the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table.Here’s what we are looking for with this role:Essential Requirements:Engineering Degree in Computer Science/Engineering and minimum of 6 years of working experience in the fieldStrong hands-on experience in Linux/Cloud environment and scripting languages as Python and ShellExperience designing and developing APIs in Python (FastAPI, Flask or Django)Experience with Python testing frameworks such as unittest or pytestExcellent knowledge of software development and software testing methodologies along with configuration management practices in Linux-based environments.Demonstrated Experience writing and maintaining high quality code as well as documentationExperience working with Docker, Kubernetes in a microservices architecture.Desirable Requirements:Strong mathematical knowledge and advanced statistical analysis skillsExperience in automating Continuous Integration, Continuous Delivery and Agile practices for highly scalable systemsMachine Learning or Artificial Intelligence experienceExperience with Deep Learning, Neural Networks, Recommenders is an advantageExperience working with message brokers (RabbitMQ, Kafka) is an advantageExperience with AWS, GCP or AzureExperience with Generative AI tools and technologies as well as LLMsHere’s our story; now tell us yoursDell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 130,000 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.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. Read the full Employment Opportunity Policy here.Job ID:R235906Dell’s Flexible & Hybrid Work CultureAt 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

Company:

Dell Technologies

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Big Data, Industry, Ireland, Machine Learning, Neural Networks, NLP