Machine Learning Data Science Developer

Machine Learning Ops is all about building pipelines to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models. 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 as a ML Ops Engineer on our Data Science team to do the best work of your career and make a profound social impact.

What you’ll achieve
The Customer & Finance Shared Services Group is in search of a ML Ops Engineer with strong technical skills and engineering drive. The ML Ops Engineer will design and drive the deployment of machine learning algorithms into production ensuring that best practices are embedded in end-to-end solutions.

You will:

• Apply common and advanced machine learning techniques to deploy models on large-scale data. This requires knowledge of a broad range of automation tools like
• Generate new practices and processes for effective ML engineering, in alignment with core subject-matter expertise
• Evaluate data science models in terms of outcomes and computational performance
• In partnership with Dell leadership, you will realize a long-term vision that transforms the processes of today into new AI-driven processes.

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

• 4+ Working knowledge of Python, Packages, Code Constructs and Object-Oriented Methodology
• Deep understanding of ML Algorithm Scalability, Result Reproducibility
• Hands-on experience with working on Kubernetes extensions, building CRDs, operators using Operator framework
• Experience in designing & building real-time, large scale production-grade microservices applications
• Good Knowledge of full-stack infrastructure.
• Experience with scripting and automation is desirable (Bash, Terraform, Ansible, Jenkins)
• Experience with container technologies (Docker, Kubernetes, flannel, CoreOS, etc.)
• Efficient Coordination with DS Team and execution of project plan by working with POs to define, sequence, and estimate effort
• Proficiency with containers, orchestration technologies, Git and Continuous Integration (CI)/Continuous Delivery (CD) pipelines
• Experience with product architecture designing
• Build practices in ML Ops that combine Machine Learning, DevOps, and Data Engineering, which aim to deploy and maintain ML systems in production reliably and efficiently.
• Model & Data Versioning Automated Version Control & tracking of model versions, along with the data used to train it, and some meta-information like training hyperparameters.
• Model Output & Data Validation Automating process of Model output & Data validation with proper Metrics relevant to each model used in ML Algorithms
• Monitoring Build & Production Systems using automated monitoring & alarm tools.

Desirable Requirements

• Bachelor’s degree/Master's degree/PhD
• Implementing Automated MLOPS, Edge deployments using Kubernetes
• Knowledge of machine learning

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: July 18th, 2022

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 Equal Employment Opportunity Policy here.