DataRobot

15 hours ago

Senior AI Engineer - Professional Services - KSA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Build and deploy end-to-end AI solutions for DataRobot’s strategic customers, translating business goals into predictive models, GenAI chatbots, and agentic AI. Partner with customer stakeholders to define requirements, implement RAG systems, and productionize models. Serve as a technical expert on the DataRobot platform and modern MLOps practices, using Python-based development and secure, scalable application deployment to deliver measurable business impact.

Location: Saudi Arabia

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Partner with customers to understand business goals, identify high-impact AI use cases, and define technical requirements.
•Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools.
•Develop and deploy agentic AI using frameworks such as Langgraph, CrewAI, and Llama Index.
•Build GenAI chatbots and Retrieval-Augmented Generation (RAG) systems, as well as predictive ML models for use cases like forecasting and fraud detection.
•Serve as a technical expert on the DataRobot platform and modern AI/ML development, guiding MLOps, model governance, and scaling while communicating outcomes to technical and non-technical stakeholders.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeaveParental LeaveEap

Key Requirements

•Approximately 6-8 years of hands-on experience in AI application development, software engineering, machine learning engineering, or deploying AI/applications into production.
•Master’s degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
•Hands-on cloud experience with AWS, Azure, or GCP.
•Strong proficiency in Python and common data science libraries such as pandas, scikit-learn, and NumPy.
•Knowledge of MLOps principles and tools for model CI/CD, monitoring, and governance.

Experience:6-8 yearsAI application developmentMachine learningMLOpsGenerative AI

Education:Master's

Skills:CommunicationProblem-solvingCustomer focus

Tech Stack:PythonPandasScikit-learnNumPyLanggraphCrewAILlama IndexVector databasesLarge Language ModelsREST APIsFlaskFastAPIDockerKubernetesOAuthAPI keysRetrieval-Augmented GenerationGenAIDataRobot platformMLOps

Company Brief

DataRobot

Provides an enterprise AI platform that automates and accelerates the end-to-end data science lifecycle, enabling organizations to build, deploy, and manage machine learning models at scale for business decisioning and predictive analytics.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn

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DataRobot

15 hours ago

Senior AI Engineer - Professional Services - KSA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Saudi Arabia

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Partner with customers to understand business goals, identify high-impact AI use cases, and define technical requirements.
•Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools.
•Develop and deploy agentic AI using frameworks such as Langgraph, CrewAI, and Llama Index.
•Build GenAI chatbots and Retrieval-Augmented Generation (RAG) systems, as well as predictive ML models for use cases like forecasting and fraud detection.
•Serve as a technical expert on the DataRobot platform and modern AI/ML development, guiding MLOps, model governance, and scaling while communicating outcomes to technical and non-technical stakeholders.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeaveParental LeaveEap

Key Requirements

•Approximately 6-8 years of hands-on experience in AI application development, software engineering, machine learning engineering, or deploying AI/applications into production.
•Master’s degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
•Hands-on cloud experience with AWS, Azure, or GCP.
•Strong proficiency in Python and common data science libraries such as pandas, scikit-learn, and NumPy.
•Knowledge of MLOps principles and tools for model CI/CD, monitoring, and governance.

Experience:6-8 yearsAI application developmentMachine learningMLOpsGenerative AI

Education:Master's

Skills:CommunicationProblem-solvingCustomer focus

Company Brief

DataRobot

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn