Senior Data

3 days ago

Singapore Cloudera Full time

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.
Role Details
Business Area : Sales Engineering
Seniority Level : Mid-Senior level
Responsibilities
Lead customer engagements by designing and presenting AI solution architectures and business outcomes to technical and executive stakeholders.
Provide deep Generative AI expertise throughout the sales cycle, supporting PoCs, solution sizing, and adoption for new and existing customers (especially APAC-specific use cases and scenarios).
Troubleshoot and resolve complex technical issues, providing guidance and leading escalations to ensure customer success.
Drive internal and external technical enablement by exploring new technologies, developing educational materials, and sharing best practices.
Influence product roadmap by translating customer feedback and APAC-specific requirements into actionable insights for our product and engineering teams.
Act as a Cloudera evangelist, participating in community activities, speaking at events, and contributing to knowledge sharing.
Collaborate effectively with cross-functional teams (Sales, Product, Engineering) to align on customer success and product vision.
Qualifications
Proven experience in designing, building, and deploying enterprise-grade AI/ML solutions, including MLOps frameworks (e.g., Kubeflow) and various ML architectures (e.g., deep learning).
Hands-on expertise with leading ML programming frameworks like LangChain, PyTorch, HuggingFace, and TensorFlow.
Strong background in architecting production AI/ML deployments, considering infrastructure, security, and networking in complex enterprise environments.
Demonstrated ability to create AI Proofs of Concept (PoCs) and MVPs that lead to successful production deployments.
Practical experience in designing and implementing Agentic AI workflows, including LLM integration, prompt engineering, and tool integration.
Exceptional presentation skills, comfortable engaging with diverse audiences from engineers to senior executives.
Ability to analyze customer workloads and define technical migration roadmaps tailored to their specific needs.
You may also have
Prior experience in pre-sales or technical consulting roles with a strong focus on AI/ML solutions.
Expertise in operationalizing ML workflows using modern MLOps practices across cloud or hybrid environments.
Familiarity with Cloudera's AI and data platform components (e.g., Cloudera AI/CML, CDP Data Services, SDX).
Applied experience with AI/ML services on major cloud platforms (AWS, Azure, GCP) and relevant tools (e.g., SageMaker, Vertex AI).
Relevant technical ML certifications (e.g., Azure, AWS, GCP).
Working knowledge of the open-source data and ML ecosystem (e.g., Apache Spark, Airflow, Impala).
Exposure to GPU-accelerated computing for deep learning and generative AI applications.
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
Cloudera is an equal opportunity employer.
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