GenAI Application Developer

Business Area:

Seniority Level:

Job 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.

 As the GenAI Application Developer you will:

•  You will develop and deliver curriculum content, student guides, labs, quizzes, and certification questions on the topics of building, deploying, and managing AI applications on Cloudera for Cloudera customers.
• You will also have the opportunity to build engaging hands-on labs for customers being trained on Generative AI skills within the Cloudera ecosystem
• Ensure customers are successfully enabled to develop, deploy, and manage AI applications effectively and efficiently using Cloudera
• Responsible for developing high quality and impactful “GenAI Application Development on Cloudera” course and similar course content
• Enable instructors to successfully deliver the course 
• Deliver hands-on workshops to customers in person or remote on select course topics
• Record and publish course content as online modules in digital format
• Work with internal & external SMEs and customers 
• Be a technical resource for Education sales leaders
• Demonstrate a commitment to continuous learning and development in the field of AI application development by staying abreast of the latest technologies and trends

We’re excited about you if you have:

• Five (5) or more years in software engineering and AI/ML, with a focus on building and deploying AI and GenAI applications.
• Experience in one or more LMS (learning management systems)
• Strong programming skills in Python with experience in NLP 
• Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Ray, and scikit-learn
• Experience in GenAI specific Python libraries such as Langchain, OpenAI APIs, transformers, llamaindex and others similar.
• Experience developing and deploying ML/AI models
• Experience in preparing data ( both structured and unstructured )  for ML/AI model development including training and fine tuning of LLMs
• Experience (or educated) in working with LLMs ( building, consuming or fine tuning) and vector databases like Pinecone, Milvus or others forRAG architectures
• Knowledge of HuggingFace and how to use it in ML projects
• Experience with containerization technologies, such as Docker and Kubernetes
• Experience with MLOps principles and tools
• Bachelors or equivalent from a recognized university

You may also have:

• Excellent communication and presentation skills 
• Ability to work closely with the curriculum content development team to define the operational requirements for technical training courses
• Ability to build efficient, well-architected, easy-to-use hands-on lab environments
• Ability to work as part of a remote, distributed team Desirable
• Experience with data engineering tools and technologies, e.g. Spark, Hive, Kafka
• Experience with cloud platforms: AWS, Azure, or GCP
• Experience with model monitoring and explainability
• Experience with deep learning techniques
• Experience with publishing technology for education content on digital media platforms like Udemy, LinkedIn, YouTube as curriculum developer or independent contributor
• Some certification in Kubernetes
• Certification in cloud on at least one hypescaler: AWS, Azure, or GCP

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

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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