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Urgent! Solutions Engineer Job Opening In Singapore, Singapore – Now Hiring Cloudera
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.
Cloudera is currently seeking a customer-facing, hands-on technologist with a strong track record of success to join our team in one of Cloudera’s fastest-growing and most strategic markets.
This is an exciting opportunity to help enterprise organizations unlock the power of data and AI using Cloudera’s modern open data lakehouse, streaming, and machine learning platform.
A Day in the Life
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’re 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 English (spoken and written).
Due to the nature of the job, only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered for this position.
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
Why Cloudera?
At Cloudera, we empower the world's largest organizations to drive innovation with data and AI.
As a Solutions Engineer in Singapore, you will play a key role in helping enterprises build the next generation of intelligent data platforms.
If you're passionate about AI/ML, hands-on problem solving, and helping customers succeed — we’d love to hear from you.
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 Groups
EEO/VEVRAA
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Unlock Your Solutions Engineer Potential: Insight & Career Growth Guide
Real-time Solutions Engineer Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Solutions Engineer in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 32510 jobs in Singapore and 27994 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Solutions Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Cloudera is currently hiring and seeking a Solutions Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Solutions Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cloudera adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Solutions Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Solutions Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Solutions Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Solutions Engineer interview at Cloudera, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cloudera's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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