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    Home/Jobs/Lead AI Engineer

    Lead AI Engineer

    Baker Hughes

    Bengaluru
    5-8 years
    4 days ago
    ₹20–35 LPA
    Full-time
    Onsite

    Skills Required

    Python
    AWS
    API design
    CI/CD pipelines
    DevOps
    containerized microservice-based architectures

    Description

    Join our Artificial Intelligence Engineering Team as a Lead AI Engineer and play a key role in enabling Baker Hughes' mission to make energy safer, cleaner, and more efficient through intelligent technologies.

    Company: Baker Hughes

    Role: Lead AI Engineer

    Location: Bangalore, Karnātaka, India

    Experience:

    • Strong experience delivering production-grade software systems
    • Experience mentoring engineers and leading technical initiatives
    • Experience with containerized, microservice-based architectures
    • Experience with AWS

    Key Skills:

    • Python development
    • API design and versioning
    • CI/CD pipelines and DevOps practices

    Qualification:

    • A Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field

    Role Focus: • Leading the design, analysis, implementation, and integration of AI model serving solutions • Designing and standardizing serving architectures for AI and GenAI use cases • Defining and implementing safe rollout and rollback strategies • Driving performance, scalability, and cost optimization • Establishing and reviewing runtime resilience patterns • Providing technical leadership and coaching through design and code reviews • Developing and reviewing performance, load, resiliency, and cost test plans • Ensuring operational readiness for production launches • Participating in architecture, operational readiness, and security reviews • Collaborating with Platform, MLOps, Reliability, Security, Data, and Product teams

    Other:

    • Contemporary work-life balance policies and wellbeing activities
    • Comprehensive private medical care options
    • Safety net of life insurance and disability programs
    • Tailored financial programs
    • Additional elected or voluntary benefits
    • Working flexible hours
    • We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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