Cloudera

1 day ago

Applied AI Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Identify, validate, and build technical conviction for high-impact private AI use cases that can move from concept into production. Lead hands-on AI discovery workshops with enterprise customers and NVIDIA ecosystem partners, scope measurable business outcomes, and assess feasibility across data readiness, governance, security, and infrastructure constraints. Translate qualified opportunities into engineering blueprints, develop lightweight proofs and reference architectures, and capture best practices to scale across the enterprise.

Location: Dubai

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.
•Conduct deep technical and business discovery to scope high-value AI use cases suitable for production deployment.
•Evaluate enterprise AI readiness by assessing data architecture, governance, infrastructure constraints, security considerations, and data gravity challenges.
•Develop regional domain leadership as a subject matter expert within a regional pod and help transfer successful AI patterns across customer segments.
•Build technical assets (proofs of concept, reference architectures, demonstrations) and define engineering blueprints for seamless handoff to FDE teams.

Pay and Benefits

Perks:Paid LeaveRemote WorkHealth InsuranceDentalVision

Key Requirements

•Strong technical foundation in data science, comfortable working with code, APIs, notebooks, and enterprise architectures.
•Hands-on experience building or supporting AI applications across machine learning, deep learning, computer vision, predictive modeling, anomaly detection, and generative AI.
•Proven success in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles focused on discovery and qualification of complex enterprise initiatives.
•Ability to assess data quality, governance, security, compliance, operational readiness, and infrastructure constraints for private AI deployments.
•Exceptional communication skills to engage both technical and executive audiences.

Skills:CommunicationPresentationProblem-solving

Tech Stack:PythonAPIsCloud-native architecturesData pipelinesMLOpsMachine learningDeep learningComputer visionTime-series analyticsPredictive modelingAnomaly detectionGenerative AIAgentic systems

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

1 day ago

Applied AI Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Dubai

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.
•Conduct deep technical and business discovery to scope high-value AI use cases suitable for production deployment.
•Evaluate enterprise AI readiness by assessing data architecture, governance, infrastructure constraints, security considerations, and data gravity challenges.
•Develop regional domain leadership as a subject matter expert within a regional pod and help transfer successful AI patterns across customer segments.
•Build technical assets (proofs of concept, reference architectures, demonstrations) and define engineering blueprints for seamless handoff to FDE teams.

Pay and Benefits

Perks:Paid LeaveRemote WorkHealth InsuranceDentalVision

Key Requirements

•Strong technical foundation in data science, comfortable working with code, APIs, notebooks, and enterprise architectures.
•Hands-on experience building or supporting AI applications across machine learning, deep learning, computer vision, predictive modeling, anomaly detection, and generative AI.
•Proven success in technical pre-sales, solution architecture, consulting, customer engineering, or similar roles focused on discovery and qualification of complex enterprise initiatives.
•Ability to assess data quality, governance, security, compliance, operational readiness, and infrastructure constraints for private AI deployments.
•Exceptional communication skills to engage both technical and executive audiences.

Skills:CommunicationPresentationProblem-solving

Tech Stack:PythonAPIsCloud-native architecturesData pipelinesMLOpsMachine learningDeep learningComputer visionTime-series analyticsPredictive modelingAnomaly detectionGenerative AIAgentic systems

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