AI Technical Lead MMH260818-1

Momentum Services

Role Purpose

The incumbent shall be responsible for leading AI/ML operational and platform

engineering functions across the organization. The focus of this role is to provide and

ensure technical excellence in the AI/ML technology landscape and drive the adoption

of AI solutions across business units.

Requirements

10 years’ experience in IT, software engineering, or data science related positions
5 years of direct experience with AI/ML technologies, platforms, and solutions in

production environments.

3 years in technical leadership, architecture, or senior engineering role.
Experience in Designing and implementing large-scale AI/ML solutions and

systems.

Experience working with cloud platforms and understanding of cloud-native

architectures.

Experience with DevOps, CI/CD pipelines, and containerized deployments

Duties and Responsibilities

KEY ACCOUNTABILITIES/KRAs/KPIs

Deep dive technical investigation, analysis and troubleshooting across AI/ML

technology stacks, frameworks, and infrastructure using appropriate diagnostic

and monitoring tools.

Provide technical leadership and mentoring to AI Engineering, Data Engineering,

and Platform teams, fostering a culture of technical excellence and continuous

improvement.

Drive the enablement of AI/ML platforms, tooling, and best practices across the

organization.

Provide architecture guidance and technical oversight for AI/ML solution design,

implementation, and optimization.

Lead the evaluation, selection, and integration of AI/ML tools, frameworks, and

cloud services (e.g., Azure AI, AWS SageMaker, Google Vertex AI).

Establish and maintain monitoring, logging, and observability standards for AI/ML

systems and models.

Investigate opportunities for optimization of AI/ML technology stacks, including

model performance tuning and infrastructure efficiency.

Work with solution architects and business stakeholders to translate business

requirements into technical AI/ML solutions.

Provide support and enablement for containerized and cloud-native environments,

specifically Kubernetes and serverless platforms.

Ensure compliance, security, and governance best practices are implemented

across all AI/ML solutions.

Stay current with emerging AI/ML technologies, frameworks, and industry best

practices.

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