Solutions Engineer, Malaysia

Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.As a Solutions Engineer at Cloudera, your mission is to remove technical barriers and accelerate adoption of Cloudera’s data and AI platform. You’ll partner with customers to architect enterprise-scale solutions that span data ingestion, transformation, governance, and machine learning — including emerging use cases around Generative AI.This is not a PowerPoint-only role. You’ll be a practitioner-architect working directly with enterprise data teams, ML engineers, and IT architects to design and implement real-world solutions, including MLOps pipelines, AI / ML workflows, and production-grade GenAI use cases.##

• As a Solutions Engineer, you will :
• Collaborate with customers, partners, and prospects to understand business and technical requirements, and design data and AI solutions using Cloudera technologies.
• Architect end-to-end machine learning pipelines from data ingestion to model deployment and monitoring.
• Lead technical conversations around MLOps, data science workflows, and GenAI integration with enterprise platforms.
• Own the technical sales process from introduction through post-sales success, including expansion and renewal.
• Deliver demos, whiteboarding sessions, and proof-of-concepts that showcase real-world value.
• Evangelize Cloudera’s AI and data platform vision to data scientists, ML engineers, and business stakeholders.
• Work closely with Account Executives to drive customer success and strategic growth.
• Collaborate cross-functionally with Product, R&D, Marketing, and Customer Success teams.
• We are excited about you if you have :
• Minimum 5 years of experience in a customer-facing technical role.
• A Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• Strong hands-on experience as an AI / ML practitioner — including model development, deployment, and lifecycle management.
• Proven ability to design and deploy MLOps pipelines (training, CI / CD, monitoring, retraining).
• Experience working with GenAI models and frameworks (e.g., LLM orchestration, prompt engineering, RAG pipelines).
• Excellent communication skills with the ability to explain technical AI concepts to both technical and business audiences.
• Fluent in Malay and English (spoken and written).
• Technical Skills
• Solid understanding of machine learning, MLOps, and data science best practices
• Experience with frameworks such as MLflow, Kubeflow, Airflow, or Cloudera AI
• Bonus Points For
• Experience building or deploying Generative AI applications (e.g., chatbots, document summarization, code generation)
• Knowledge of RAG (Retrieval Augmented Generation) and LLM fine-tuning techniques
• Experience with Cloudera or similar enterprise data stacks
• Public cloud certifications (AWS, Azure, GCP) or Cloudera certifications
• Familiarity with security, governance, and data lineage tools and practices
• Previous experience with enterprise data platforms such as Databricks, Snowflake, or Confluent
• Hands-on with Python, Jupyter Notebooks, and popular ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
• Familiarity with GenAI toolkits (e.g., LangChain, LlamaIndex, Hugging Face Transformers)
• Experience with cloud-based AI workloads on AWS, Azure, or GCP
• Knowledge of data engineering and pipeline orchestration tools : Spark, Kafka, Flink, Hive, Impala
• Strong Unix / Linux background and basic understanding of DevOps and containerization (Docker, Kubernetes)
• What you can expect from us :
• Generous PTO Policy
• Support work life balance with
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Employee Resource GroupsEEO / VEVRAA#LI-ZY1 #J-18808-Ljbffr