Lead AI Engineer

Baker Hughes
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Technical leadership","Mentoring","Coaching","Collaboration","Driving engineering standards"]

Lead the design and delivery of AI model serving capabilities for real-time decisioning, document understanding, predictive maintenance, computer vision, and GenAI. Own serving architectures, safe rollout/rollback, and runtime resilience patterns, while driving performance, scalability, cost optimization, and operational readiness. Collaborate across Platform, MLOps, Reliability, Security, Data, and Product teams, and mentor engineers through design and code reviews.

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Baker Hughes
Baker Hughes
1 month ago

Lead AI Engineer

✓ 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

Lead the design and delivery of AI model serving capabilities for real-time decisioning, document understanding, predictive maintenance, computer vision, and GenAI. Own serving architectures, safe rollout/rollback, and runtime resilience patterns, while driving performance, scalability, cost optimization, and operational readiness. Collaborate across Platform, MLOps, Reliability, Security, Data, and Product teams, and mentor engineers through design and code reviews.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the design, analysis, implementation, and integration of AI model serving solutions.
  • •Design and standardize serving architectures for AI and GenAI use cases.
  • •Define and implement safe rollout and rollback strategies to improve performance, scalability, and cost efficiency.
  • •Establish and review runtime resilience patterns, and provide technical leadership through design and code reviews.
  • •Develop and review performance, load, resiliency, and cost test plans; ensure operational readiness for production launches.

Pay and Benefits

Perks:Private MedicalLife InsuranceDisability

Key Requirements

  • •A Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • •Strong experience delivering production-grade software systems.
  • •Expertise in Python development.
  • •Experience with containerized, microservice-based architectures and API design/versioning (including AWS).
  • •Knowledge of CI/CD pipelines and DevOps practices, plus experience mentoring engineers and leading technical initiatives.
Experience:Generative AIComputer visionPredictive maintenance
Education:Master's in Computer Science, Software Engineering, Artificial Intelligence, or a related field
Skills:Technical leadershipMentoringCoachingCollaborationDriving engineering standards
Tech Stack:PythonAWSContainerizedMicroservice-based architecturesAPI designAPI versioningCI/CDDevOpsGenAIComputer vision

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
WebsiteLinkedIn