Remote, Bangalore, India
18 days ago
GenAI Application Developer

Business Area:

Professional Services

Seniority Level:

Mid-Senior 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 ecosystemEnsure customers are successfully enabled to develop, deploy, and manage AI applications effectively and efficiently using ClouderaResponsible for developing high quality and impactful “GenAI Application Development on Cloudera” course and similar course contentEnable instructors to successfully deliver the course Deliver hands-on workshops to customers in person or remote on select course topicsRecord and publish course content as online modules in digital formatWork with internal & external SMEs and customers Be a technical resource for Education sales leadersDemonstrate 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-learnExperience in GenAI specific Python libraries such as Langchain, OpenAI APIs, transformers, llamaindex and others similar.Experience developing and deploying ML/AI modelsExperience in preparing data ( both structured and unstructured )  for ML/AI model development including training and fine tuning of LLMsExperience (or educated) in working with LLMs ( building, consuming or fine tuning) and vector databases like Pinecone, Milvus or others forRAG architecturesKnowledge of HuggingFace and how to use it in ML projectsExperience with containerization technologies, such as Docker and KubernetesExperience with MLOps principles and toolsBachelors 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 coursesAbility to build efficient, well-architected, easy-to-use hands-on lab environmentsAbility to work as part of a remote, distributed team DesirableExperience with data engineering tools and technologies, e.g. Spark, Hive, KafkaExperience with cloud platforms: AWS, Azure, or GCPExperience with model monitoring and explainabilityExperience with deep learning techniquesExperience with publishing technology for education content on digital media platforms like Udemy, LinkedIn, YouTube as curriculum developer or independent contributorSome certification in KubernetesCertification 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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