Solutions Engineer, Thailand

August 14

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Cloudera

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Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

📋 Description

• At Cloudera, we empower people to transform complex data into clear and actionable insights. • We are the preferred data partner for the world’s largest enterprises, delivering open data lakehouse, streaming, and AI platforms. • A Day in the Life: Solutions Engineer removes technical barriers and accelerates adoption of Cloudera’s data and AI platform. • You’ll partner with customers to architect enterprise-scale solutions spanning data ingestion, transformation, governance, and machine learning—including GenAI use cases. • You’ll design end-to-end ML pipelines from data ingestion to deployment and monitoring. • You’ll own the technical sales process from introduction through post-sales success, including expansion and renewal. • You’ll evangelize Cloudera’s AI and data platform vision to data scientists, ML engineers, and business stakeholders. • You’ll collaborate with Account Executives and cross-functional teams to drive customer success and growth.

🎯 Requirements

• 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 Thai and English (spoken and written). • You might also have: • Solid understanding of machine learning, MLOps, and data science best practices • Experience with frameworks such as MLflow, Kubeflow, Airflow, or Cloudera AI • 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) • 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

🏖️ Benefits

• 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 • EEO/VEVRAA