Data Science AdvisorDell Technologies is a leader in technology innovation, transforming how we work and live. We value our diverse team of over 100,000 employees, providing them with unparalleled growth opportunities. Join our Applied Data Science team to push the boundaries of what data can achieve in a rapidly evolving digital landscape.Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Machine Learning Team in Austin, Texas.As a Data Science Advisor , you will be integral to deploying sophisticated General AI solutions, ensuring their operational efficiency and scalability. Engage in innovative projects that leverage massive datasets to drive decision-making and operational efficiencies across global platforms.You Will
Architect and scale machine learning models for efficient deployment across various platforms
Build and optimize data pipelines to operationalize machine learning models at scale
Work collaboratively with data scientists to refine algorithms and models based on performance metrics like scale, latency, and throughput
Develop APIs and SDKs to enable seamless interaction with deployed machine learning models
Implement Docker containers and orchestrate load balancing to optimize resource allocation. Utilize vector databases for efficient data handling and retrieval
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:
Mastery in data science platforms such as Domino Data Lab, Microsoft Azure, AWS, and Google Cloud for building and deploying models
Proficient in object-oriented programming languages like C# or Java, with solid experience in Python, Spark, TensorFlow, XGBoost
Significant software engineering experience with a focus on ML model production and scalability in low-latency environments. Expert in data mining, ETL, SQL OLAP, Teradata, and Hadoop
Advanced understanding of Docker, Kubernetes, cloud-native computing, DevOps, data streaming, and parallelized workloads. Knowledge of load balancing and vector databases.
Master’s degree in Computer Science, Data Science, or a related field with at least 3 years of industry experience in software engineering or DevOps.
Desirable Requirements:
Proven ability to solve problems creatively and effectively
Extensive experience in machine learning, particularly in developing solutions utilizing Neural Networks. Profound knowledge in Big Data technologies and real-time analytics.
.Who we areWe 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 (https://jobs.dell.com/equal-employment-opportunity-policy-statement) .Dell’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 (https://jobs.dell.com/locations) page.