Job Description

AIML Ops engineerData 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 AIML Ops Engineer on our Machine Learning Engineer Team in Bangalore.What you\xe2\x80\x99ll achieve
You will work with other engineers and data scientists to solve some of the hardest business problems. You will learn what it takes to build, deploy & scale Machine Learning/Artificial Intelligence models in real-world (it\xe2\x80\x99s a hard problem, we assure you). You will build analytical data sets on which model\xe2\x80\x99s will be built. This would entail two key tasks \xe2\x80\x93 feature engineering on large datasets and optimization of our pipelines to drive scalability. If you are already good at it, we will make you better.You will:Build and maintain automated processes for deploying and managing machine learning models including batch jobs, inference APIs and model lifecycle maintenance using mlFlow.Build ML Pipelines.Optimize for efficiency, ensure the models deployed are high performing.Meet business objectives, automate to reduce manual effort in tasks like model deployment and testing, implement tools and techniques to monitor model performance in productionTake 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 Requirements\xe2\x80\xa27- 12 years of overall experience including Design and implementing MLOps pipelines for automating machine learning workflowsExtensive experience in Python, Pivotal Container Service (PKS) or Kubernetes and DockerUtilize on Prem cloud platform to build and deploy machine learning modelsIntegrate MLOps tools like MLflow into the machine learning workflowMonitor and maintain machine learning models in productionDesirable RequirementsExperience working in an agile environmentStrong problem-solving and critical thinking skillsWho 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: 30th Sep 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:R247800Dell\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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