AI Technical Lead MMH260818-1

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.

As an applicant, please verify the legitimacy of this job advert on our company career page.

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