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Head of Delivery

ApexNeural Private Limited

Location

Hyderabad

CTC

40-50 LPA

Year of Experience

15-20 yrs

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Key Skills

CommunicationLeadershipPlanningAwsAzureNlpDevopsDockerDesign PatternsDelivery ManagementGcpAutomationSoftware EngineeringKubernetesCi/cdExecutionData EngineeringDigital TransformationAI/MLsystem designProblem-SolvingEscalation ManagementMicroservices ArchitectureMLOpsLLMsClient-facingETL/ELT PipelinesAI EngineeringSenior Stakeholder ManagementAgentic AIAPI PlatformsArchitecture reviewsEnterprise Product DevelopmentScalable cloud architectures

Job Description

Overview: ApexNeural Private Limited, a leader in AI/ML innovation, is seeking a dynamic Head of Delivery to spearhead our project execution in Hyderabad. This pivotal role involves overseeing the successful delivery of complex AI/ML, Data, and Digital Transformation solutions for our clients. You will drive excellence across all delivery phases, ensuring high-quality outcomes and client satisfaction.

Responsibilities:

  • Lead and manage end-to-end delivery of multiple projects, ensuring on-time, within-budget, and scope adherence.
  • Oversee project planning, execution, and closure, applying robust delivery management principles.
  • Drive the adoption of best practices in Software Engineering, MLOps, DevOps, and CI/CD pipelines.
  • Manage client-facing interactions, senior stakeholder management, and escalation management.
  • Champion scalable cloud architectures (AWS, Azure, GCP) and microservices architecture.
  • Guide teams in AI Engineering, Data Engineering, LLMs, NLP, Agentic AI, and ETL/ELT Pipelines.
  • Conduct architecture reviews and promote robust system design and design patterns.
  • Foster a culture of continuous improvement, automation, and problem-solving.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • 15-20 years of progressive experience in software delivery, with significant exposure to AI/ML and Digital Transformation.
  • Proven leadership, communication, and planning skills.
  • Expertise in AWS, Azure, GCP, Kubernetes, Docker, and CI/CD.
  • Strong understanding of MLOps, LLMs, NLP, and AI Engineering.
  • Demonstrated ability in client-facing roles and senior stakeholder management.
  • Experience with enterprise product development and API platforms.
  • Excellent problem-solving, execution, and escalation management abilities.

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