Solutions Engineer, Malaysia

Cloudera; Malaysia; Hybrid; MYR 100,000 - 150,000; Full time

Job summary

A leading data solutions company is seeking a Solutions Engineer in Malaysia. You'll collaborate with customers to design AI and data solutions, engage in hands-on work implementing machine learning pipelines, and drive customer success. The ideal candidate has 5+ years of experience in technical roles and is fluent in Malay and English, with strong AI/ML skills. Flexible work options, generous PTO, and wellness programs are offered as part of the competitive benefits package.

Benefits

Generous PTO Policy

Flexible WFH Policy

Comprehensive Benefits and Competitive Packages

Mental & Physical Wellness programs

Qualifications

• Minimum 5 years of experience in a customer-facing technical role.
• Strong hands-on experience as an AI/ML practitioner including model development.
• Proven ability to design and deploy MLOps pipelines.

Responsibilities

• Collaborate with customers to understand requirements and design solutions.
• Architect end-to-end machine learning pipelines.
• Own the technical sales process from introduction through post-sales success.

Skills

Customer-facing technical experience

Hands-on AI/ML experience

Excellent communication skills

Fluent in Malay and English

Education

Bachelor’s degree or higher in Computer Science

Tools

MLflow

Kubeflow

Airflow

Python

Job description

Overview

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 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.

Responsibilities

• 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.

Qualifications

• 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 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

#LI-ZY1