Job Description

Data Science AdvisorData 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\xe2\x80\x99s 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 AI ML Engineer on our Data Science Team in [Bangalore/ Gurgaon].What you\xe2\x80\x99ll achieveAs a AI/ML Engineer, 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: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.Create, build and deploy Docker containers and orchestrate load balancing to optimize resource allocation.Utilize vector databases for efficient data handling and retrieval.Integration of Data Science Models/Deployments with external applicationsTake the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here\xe2\x80\x99s what we are looking for with this role:Essential RequirementsData Science Platforms like Domino Data Lab, Microsoft Azure, AWS and Google Cloud (working environment knowledge to build and deploy models)Proficient in object-oriented programming languages like C#, Java or Python. Significant software engineering experience with a focus on ML model production and scalability in low-latency environments.Advanced understanding of Docker, Kubernetes, DevOps, MLOps lifecycle, data streaming, and parallelized workloads.Knowledge of load balancing and vector databases.Desirable RequirementsProven ability to solve problems creatively and effectively.Creative Problem solving approach.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\xe2\x80\x99s why we put our team members at the center of everything we do. If you\xe2\x80\x99re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we\xe2\x80\x99re 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: 23rd May, 2024Dell 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 .Job ID:R244600Dell\xe2\x80\x99s 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 page.

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