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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end delivery of AI solutions from design handoff through production deployment, coordinating across engineering, data, platform, and QA teams to meet roadmap timelines.
Translate high-level architecture into actionable engineering plans and provide direct technical leadership and escalation support to engineering teams.
Ensure technical quality and production readiness including testing standards, MLOps practices, observability, and comprehensive documentation for AI/ML pipelines and APIs.
Minimum Requirements
BS/MS in Computer Science, Machine Learning, Software Engineering or equivalent experience.
4+ years of hands-on AI/ML engineering experience with production solution delivery and 4+ years of deep data engineering experience.
Proficiency in Python and at least one major ML framework (PyTorch, TensorFlow, JAX).
Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate.
Ideal Candidate Profile
Demonstrated ability to lead complex AI/ML solution delivery by bridging high-level architecture to detailed engineering execution and resolving cross-functional dependencies.
Experienced in cloud integrations, security controls, IAM concepts, and enterprise-scale AI platform governance.
Strong communicator able to clearly update and align stakeholders including principal architects and program managers on delivery status and risks.
