Senior Engineering Manager

DNEG

Electronic City

Hybrid

INR 15,000,000 - 30,000,000

Full time

6 days ago
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Job summary

DNEG in Bengaluru (Hybrid) seeks a Senior Engineering Manager / Associate Director to lead AI-enabled development within BRAHMA AI Core. The role focuses on translating business needs into practical AI solutions, guiding execution, and influencing product teams across AI, Platform, and QA to deliver scalable capabilities on the CLEAR platform.

The ideal candidate has 15+ years in software development with strong AI/ML background, cloud expertise (AWS/Azure/GCP), and hands-on leadership

Qualifications

  • 15+ years in software development with at least 5 years in technical leadership or delivery management.
  • Hands-on with AI/ML technologies and cloud-based ML pipelines.
  • Experience with media workflows or related domains is a plus.

Responsibilities

  • Lead cross-functional teams to deliver AI-powered capabilities for the CLEAR platform.
  • Be hands-on in defining solution approaches and guiding technical execution.
  • Collaborate with AI/ML, Platform, and QA teams to ensure smooth delivery and CI/CD.
  • Support customer pursuits by shaping and presenting technical solutions.
  • Explore and evaluate emerging AI tools and frameworks to drive innovation.
  • Optimize AI workloads on cloud infrastructure (AWS / Azure) for performance and cost.
  • Promote best practices in development, documentation, and QA across teams.
  • Foster collaboration and alignment with business priorities and delivery improvement.

Skills

AI/ML leadership
Cross-functional leadership
Technical leadership
Communication
Problem solving

Education

Bachelor's or Master's in CS/Engineering

Tools

Java
Spring Boot
REST APIs
Docker
Kubernetes
CI/CD
Jira
Confluence
MongoDB
AWS
Azure
GCP

Job description

Job Title: Senior Engineering Manager / Associate Director BRAHMA AI Core

Location: Bangalore - Hybrid

Role Overview: The Development Manager will work in a matrix setup with Product Managers, AI Leads, Platform, and QA teams, leading through influence rather than direct reporting lines.

The role calls for a technically proficient, AI-aware leader who enjoys exploring new technologies, shaping solutions, guiding execution, and participating in customer pursuits. You will help translate business needs into practical AI-enabled solutions that integrate seamlessly into PFTs platforms.

Key Responsibilities
  • Lead and guide cross-functional teams to deliver scalable AI-powered capabilities integrated into the CLEAR platform.
  • Be hands-on in defining solution approaches, evaluating tools, and supporting technical execution.
  • Collaborate with AI/ML, Platform, and QA teams to ensure smooth delivery, automation, and efficient CI/CD integration.
  • Support customer pursuits by helping shape and present technical solutions aligned with business goals.
  • Explore and evaluate emerging AI tools and frameworks to drive innovation and delivery efficiency.
  • Optimize AI workloads for performance, reliability, and cost-effectiveness on cloud infrastructure (AWS / Azure).
  • Encourage best practices in development, documentation, and quality assurance across teams.
  • Foster collaboration and learning, ensuring alignment with business priorities and continuous improvement in delivery.
Required Experience & Skills

15+ years of experience in software development, with at least 5 years in technical leadership or delivery management.

  • Proven record of being hands-on in technology and guiding teams in AI/ML-driven product or platform development.
  • Strong understanding of AI/ML technologies, LLMs, SLMs, frameworks (TensorFlow, PyTorch) and cloud-based ML pipelines.
  • Experience with Java , Springboot, microservices, APIs, DevOps/MLOps, CI/CD, Docker, Kubernetes, Mongo DB, etc.
  • Strong in Project Management, resource planning, allocation and release planning and management (experienced in Jira, Confluence, Feature Build and Release Pipelines)
  • Hands on cloud knowledge in AWS, Azure or GCP
  • Familiarity with media workflows such as video/audio processing, speech-to-text, computer vision, or metadata enrichment.
  • Excellent communication and problem-solving skills; strong ability to collaborate in a matrix organization.
  • An attitude to ensure customer success at all costs.
Nice to Have
  • Experience in Media Supply Chain, Post-production, Sports, Broadcast, or OTT environments.
  • Familiarity with media workflow platforms.
  • Awareness of cloud cost optimization, and AI observability.
  • Contributions to open-source AI/ML or media processing frameworks.
Education

Bachelors / Master’s degree in Computer Science, Engineering, or related field.

Advanced degree or certifications in AI/ML, Cloud, or Data Analytics or Data Engineering preferred.

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