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Ai/ml Technical Lead Apac

2 weeks ago

Singapore Cloudera Full time

Business Area:
Sales Engineering

Seniority Level:
Mid-Senior level

**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.

We are currently seeking a customer-facing, hands-on AI & machine learning expert with a track record of success to join us in Singapore.

As an AI/ML Technical Lead APAC you will:
- Provide in-depth machine learning expertise to support the technical relationship with Cloudera’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritise solutions impacting customer adoption.- Support new customer opportunities from Proof of Concept (PoC) for Machine learning workloads using Open Source Models,Cloudera Applied Machine Learning prototypes and other cloud native integrations- Provide customers with Generative AI expertise and advisory through architecture designs, production reviews, and pre-sales support- Expand and grow Generative AI adoption for existing customer base- Lead and provide guidance in technical escalations to unblock AI customers in collaboration with Cloudera stakeholders- Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis- Drive product improvement and influence roadmap with Engineering through deep technical insights- Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP- Travel to customer sites, conferences, and other related events as required.

Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community.

We’re excited about you if you have:
- Experience in building and deploying data and Machine Learning pipelines with a focus on automation.- Experience with building machine learning solutions, Machine Learning Operation frameworks like kubeflow, and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks, etc).- Experience in understanding a complex customer’s existing software workloads and the ability to define a technical migration roadmap to the Cloud reflecting specific customer needs.- Familiarity with machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and Tensorflow.- Familiarity with prompt tuning and delivering successful prototypes.- "Hands on" experience creating AI Proof of Concepts, and Minimum Viable Products (MVPs) leading to production deployments- Experience in architecting deployments for production in an enterprise setting including infrastructure knowledge, security, networking, and other considerations.

We’re also excited about you if you have:
- Bachelor's degree or equivalent practical experience.- 5 years of experience in virtualisation or cloud native architectures in a customer-facing or support role.Familiarity or direct exposure to key AI scenarios that are driving innovation in industries such as Financial Services, Retail, Healthcare, etc.- Technical Machine Learning Certification in Cloud (e.g., Azure, Amazon Web Services, Google certifications)- Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, Management, Data Scientists, Engineers, etc.)- Experience in pre-sales and consulting, delivering technical presentations, and leading discovery and planning sessions with customers with defined scope and success criteria.- Experience with big data and machine learning frameworks (e.g., Tensorflow, PyTorch, or scikit-learn), and implementing Machine Learning Operations at enterprise scale on cloud platforms.

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

Cloudera is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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