Cloudera

13 hours ago

Applied AI Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Identify and validate high-impact private AI use cases that can be deployed into production. Lead technical discovery workshops with enterprise customers and strategic ecosystem partners (e.g., NVIDIA), assess AI readiness across data, governance, security, and infrastructure, and separate low-conviction ideas from production-ready opportunities. Build technical assets and proofs of concept, then define engineering blueprints and success criteria for handoff to Forward Deployed Engineers to accelerate adoption responsibly.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead AI discovery workshops with strategic ecosystem providers (including NVIDIA) to identify, validate, and prioritize private AI opportunities.
•Discover and scope high-value AI use cases with enterprise customers that can deliver measurable business outcomes and are suitable for production deployment.
•Evaluate enterprise AI readiness by assessing data architecture, governance requirements, infrastructure constraints, security considerations, and data gravity challenges.
•Develop regional domain leadership as a subject matter expert and help transfer successful AI patterns across customer segments.
•Develop lightweight technical assets (POCs, reference architectures, demos) and translate qualified opportunities into engineering blueprints for handoff to FDE teams.

Pay and Benefits

Perks:Paid LeaveRemote WorkWellness StipendPhone ReimbursementVolunteer Time

Key Requirements

•Strong technical foundation in data science and comfort working directly with code, APIs, notebooks, and enterprise architectures.
•Practical hands-on experience building or supporting AI applications across machine learning, deep learning, computer vision, predictive modeling, anomaly detection, and generative AI.
•Experience in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles qualifying and designing complex enterprise technology initiatives.
•Ability to assess data quality, governance, security/compliance, operational readiness, and infrastructure constraints for private AI deployments.
•Exceptional ability to engage technical and executive audiences and connect business outcomes to practical implementation strategies.

Experience:Enterprise AIMachine learningGenerative AIData-intensive industriesMLOps

Skills:Workshops facilitationExecutive communicationTechnical discoverySubject matter expertiseDocumentation

Tech Stack:PythonAPIsNotebooksMLOpsCloud-native architecturesData pipelinesMachine learningDeep learningComputer visionPredictive analyticsTime-series analyticsAnomaly detectionGenerative AIAgentic systemsNVIDIA AI EnterpriseNIMsNeMoRAPIDsAccelerated computingEnterprise data platforms

Company Brief

Cloudera

Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 2008

Glassdoor: 3.8

Website LinkedIn

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Cloudera

13 hours ago

Applied AI Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead AI discovery workshops with strategic ecosystem providers (including NVIDIA) to identify, validate, and prioritize private AI opportunities.
•Discover and scope high-value AI use cases with enterprise customers that can deliver measurable business outcomes and are suitable for production deployment.
•Evaluate enterprise AI readiness by assessing data architecture, governance requirements, infrastructure constraints, security considerations, and data gravity challenges.
•Develop regional domain leadership as a subject matter expert and help transfer successful AI patterns across customer segments.
•Develop lightweight technical assets (POCs, reference architectures, demos) and translate qualified opportunities into engineering blueprints for handoff to FDE teams.

Pay and Benefits

Perks:Paid LeaveRemote WorkWellness StipendPhone ReimbursementVolunteer Time

Key Requirements

•Strong technical foundation in data science and comfort working directly with code, APIs, notebooks, and enterprise architectures.
•Practical hands-on experience building or supporting AI applications across machine learning, deep learning, computer vision, predictive modeling, anomaly detection, and generative AI.
•Experience in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles qualifying and designing complex enterprise technology initiatives.
•Ability to assess data quality, governance, security/compliance, operational readiness, and infrastructure constraints for private AI deployments.
•Exceptional ability to engage technical and executive audiences and connect business outcomes to practical implementation strategies.

Experience:Enterprise AIMachine learningGenerative AIData-intensive industriesMLOps

Skills:Workshops facilitationExecutive communicationTechnical discoverySubject matter expertiseDocumentation

Company Brief

Cloudera

Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 2008

Glassdoor: 3.8

Website LinkedIn