Key skills
PythonJavaC#C++CGoSQLRAIMachine LearningMLGenerative AIRAGLangChainTensorFlowMLflowKubeflowPineconeMilvusSparkReactgRPCAWSAmazon Web ServicesAzureGCPGoogle CloudKubernetesAgileProduct ManagementCommunication
About this role
Cloudera is a leading data partner that empowers people to transform complex data into actionable insights. As a Staff Software Engineer in the Machine Learning Platform team, you will contribute to the design, build, and delivery of a next-gen AI & Machine Learning platform, enabling enterprises to create and deploy Generative AI applications.
Responsibilities:
- Help build the leading platform for AI/machine learning in the enterprise
- Design, and code elegant, scalable, enterprise-quality application services
- Implement AI application services powered by machine learning models
- Advocate for the implementation of Engineering best practices and coding standards
- Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, as well as, Product Management, Field Engineering, and other external partners
- Work to enhance developer velocity and team agility
Requirements:
- 8+ years of experience building scalable microservices or applications using Go, C#/C++ or Java
- Bsc/Msc in related field or equivalent experience
- 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 Generative AI frameworks (LangChain, Guidance, NeMo etc.)
- Experience building and deploying Generative AI applications
- Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes
- Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
- Demonstrate ability to go deep into technology and complex distributed systems
- Experience in crafting high level and low level design
- Experience building scalable, robust and secure enterprise applications
- Self-driven and motivated, with a strong sense of ownership and craftsmanship
- Strong written and verbal communication skills
- Experience with building applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)
- Full stack experience with React, HTML, CSS
- Experience with AI/ML orchestration software (Kubeflow, KServe, Knative, Ray)
- Experience using Big Data technologies like Spark, Hive etc
- Proven track record of collaborating with agile teams across geographically dispersed locations