Engineering Manager, Enterprise AI Platform
India-Bangalore
Cloudera
Cloudera delivers a hybrid data platform with secure data management and portable cloud-native data analytics.Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
Cloudera is looking for an Engineering Manager with a strong technical background to help manage the team(s) located in Bangalore, India to help drive the development of Cloudera’s next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale.
We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.
Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.
As the Engineering Manager you will:
Be responsible for working with Product Managers to define what capabilities should be built in the product.
Have to work with Product Managers to understand customer use cases and help them use our products effectively.
Be responsible for the growth of your reportees.
Should be able to fill in, to address gaps in process / practices followed by the team / organization.
As a leader you should be able to lead by example.
We’re excited about you if you have:
8+ years of experience in building enterprise software and 2+ years of management experience.
Experience building and deploying production generative AI applications leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.).
Strong written and oral communication skills.
Good understanding of Engineering best practices.
Experience with containerization frameworks like Kubernetes, Docker.
Strong Understanding of Distributed Systems and building systems at scale.
Should be able to drive the architecture/design and provide technical direction & guidance to the team.
Self-driven and motivated, with a strong sense of ownership and craftsmanship.
It is a plus if you have:
Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.).
Experience with AI/ML orchestration software (Kubeflow, KServe, Knative).
Experience with cloud technologies (AWS, GCE, Azure)
Experience using Big Data technologies like Spark, Hive etc.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Employee Resource Groups
Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Distributed Systems Docker Engineering Generative AI KNative KServe Kubeflow Kubernetes LangChain Machine Learning MLFlow Open Source Prompt engineering Python R RAG Spark TensorFlow
Perks/benefits: Career development Flex hours Flex vacation Startup environment Wellness
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