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Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera’s next-generation AI and machine learning platform. You will be responsible for helping 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. This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management.

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.

This role is not eligible for immigration sponsorship.

As a Software Engineer you will….

• Help build the leading platform for AI and Machine Learning in the enterprise.

• Design and Develop AI Model Registry and AI applications 

• Work to enhance developer velocity and team agility.

• Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners.

We are excited if you have….

• Experience building and deploying AI Inference and Generative AI applications.

• 8+ years of experience building scalable microservices or applications using Go, Python, Node.js, C# or Java

• Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.

• Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes

• Demonstrate ability to go deep into technology and complex distributed systems

• Experience in crafting high-level and low-level design

• Experience in building highly scalable, robust and secure enterprise applications

• Self-driven and motivated, with a strong sense of ownership and craftsmanship

• Strong written and verbal communication skills.

• Bsc/Msc in related field or equivalent experience

You may also have…

• Experience with HuggingFace, Nvidia AI frameworks and Nim models.

• Experience with AI/ML orchestration software KServe, Knative, Kubeflow.

• Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)

• Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure

• Good to have some full-stack experience with React, HTML, CSS.

• Experience with data science and machine learning tools (R, Python, Tensorflow, Spark)

• Deep understanding of cloud-based networking

• Experience using Big Data technologies like Spark, Hive etc.

• Proven track record of collaborating with agile teams across geographically dispersed locations

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 

• Paid Volunteer Time

• Employee Resource Groups

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