Baker Hughes

3 months ago

Senior AI Engineer (f/m/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join the innovative Artificial Intelligence team to design, build, and operate production AI services for real-time decisioning, document understanding, predictive maintenance, computer vision, and Generative AI. You’ll lead evaluation, integration, and serving architecture for multiple services, drive safe rollout/rollback patterns, ensure performance and reliability, and mentor engineers. Collaborate across Platform & MLOps, Reliability & Support, Security, Data, and Product to improve overall quality of AI services.

Location: Florence

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Execute and lead evaluation, design, analysis, testing, and integration of complex AI model serving solutions.
•Design and review serving architectures across multiple services with system- and service-level engineering practices.
•Drive controlled rollout and rollback patterns to enable safe, predictable production changes.
•Ensure serving solutions meet performance, scalability, cost, and reliability expectations through proactive design and review.
•Provide technical leadership and mentorship, collaborating cross-team to resolve serving challenges and maintain operational artifacts (documentation, runbooks, telemetry expectations).

Pay and Benefits

Salary: EUR 51,200 - 70,400

Key Requirements

•Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
•Extensive experience delivering and operating production-grade backend or AI-enabled services.
•Strong expertise in backend programming languages such as Python.
•Proven experience designing microservice-based, cloud-native architectures.
•Strong understanding of API design, versioning, and integration patterns (with hands-on AWS experience and CI/CD/containerization/DevOps knowledge).

Education:Master's

Skills:Technical leadershipMentorshipCommunicationCollaborationDesign review leadership

Tech Stack:PythonMicroservicesCloud-native architecturesAPI designAWSCI/CDContainerizationDevOpsGenerative AIAI inference

Company Brief

Baker Hughes

Provides oilfield equipment, technologies, and services for the energy industry, including drilling, production, and industrial solutions. Serves upstream, midstream, and downstream customers worldwide with products and services focused on efficiency and reliability.

Industry: Energy Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Houston, United States

Founded: 1907

Website LinkedIn

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Baker Hughes

3 months ago

Senior AI Engineer (f/m/d)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Florence

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Execute and lead evaluation, design, analysis, testing, and integration of complex AI model serving solutions.
•Design and review serving architectures across multiple services with system- and service-level engineering practices.
•Drive controlled rollout and rollback patterns to enable safe, predictable production changes.
•Ensure serving solutions meet performance, scalability, cost, and reliability expectations through proactive design and review.
•Provide technical leadership and mentorship, collaborating cross-team to resolve serving challenges and maintain operational artifacts (documentation, runbooks, telemetry expectations).

Pay and Benefits

Salary: EUR 51,200 - 70,400

Key Requirements

•Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
•Extensive experience delivering and operating production-grade backend or AI-enabled services.
•Strong expertise in backend programming languages such as Python.
•Proven experience designing microservice-based, cloud-native architectures.
•Strong understanding of API design, versioning, and integration patterns (with hands-on AWS experience and CI/CD/containerization/DevOps knowledge).

Education:Master's

Skills:Technical leadershipMentorshipCommunicationCollaborationDesign review leadership

Tech Stack:PythonMicroservicesCloud-native architecturesAPI designAWSCI/CDContainerizationDevOpsGenerative AIAI inference

Company Brief

Baker Hughes

Industry: Energy Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Houston, United States

Founded: 1907

Website LinkedIn