Job Description

Senior ML Engineer-Data ScientistData 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. Whatxe2x80x99s 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 Senior Advisor on our Data Science/ ML Engineer team in Bangalore to do the best work of your career and make a profound social impact.What youxe2x80x99ll achieveData 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. Whatxe2x80x99s 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.You will:Develop Gen AI-based solutions to tackle real-world challenges using extensive datasets of text, images, and moreDesign, deploy, and manage experiments; research new algorithms and optimization methodsBuild and maintain data pipelines and platforms to operationalize Machine Learning models at scaleDemonstrate a passion for blending software development with Gen AI and MLTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Herexe2x80x99s what we are looking for with this role:Essential RequirementsDesign, implement, test, deploy, and maintain ML solutions within Dell's services organizationEngage in design discussions, code reviews, and interact with various stakeholdersCollaborate across functions to influence business solutions with technical expertiseThrive in a startup-like environment, focusing on high-priority tasksDesired RequirementsProficiency in Data Science Platforms (Domino Data Lab, Microsoft Azure, AWS, Google Cloud) | Deep knowledge in ML, data mining, statistics, NLP, or related fields | Experience in object-oriented programming (C#, Java) and familiarity with Python, Spark, TensorFlow, XGBoost | Experience in productionizing ML models and scaling them for low-latency environments | Proficient in Data Mining, ETL, SQL OLAP, Teradata, Hadoop8+ years of related experience with a bachelorxe2x80x99s degree; or 6+ years with a Masterxe2x80x99s; or 3+ years with a PhD; or equivalent experience | Knowledge in cloud-native computing, DevOps, data streaming, parallelized workloads (Docker, Kubernetes, TDD, CI/CD)Herexe2x80x99s our story; now tell us yoursDell 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. Wexe2x80x99re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.Who we areWe believe that each of us has the power to make an impact. Thatxe2x80x99s why we put our team members at the center of everything we do. If youxe2x80x99re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, wexe2x80x99re 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: 22nd Nov, 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 .

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