Senior ML Software Developer, ML Technology at DNEG in India, IN

Senior ML Software Developer, ML Technology (Brahma DDU)

The ML Technology department at Brahma DNEG-Dedicated Unit (Brahma DDU) explores, tests, and deploys machine-learning and automation solutions to support the technology and infrastructure that powers DNEG’s multi-site, global VFX and Feature Animation studio. With thousands of artists producing tens of thousands of shots across film, TV, and immersive experiences, we face complex scaling and workflow challenges.

As a Senior Software Developer, you will act as an architect building Python applications, high-quality tools, services, and web front-end UIs that enable award-winning VFX and feature animation work.

You should apply if:

• You enjoy building, packaging, and configuring complex software systems.
• You enjoy acting as a team player - you know how to delegate and mentor others.
• You are fluent across modern software development and ML tooling and like collaborating with engineers, researchers, and artists.
• You care about efficiency, reliability, and clean engineering.

Your role:

Software Development

• Deploy ML solutions and integrate AI tooling within the VFX pipeline with minimal burden on artists and production.
• Design and build web front-end UIs (dashboards, curation tools, job control, review) that make ML/automation workflows intuitive and accessible.
• Collaborate with global stakeholders and architects to implement cost-effective data and MLOps pipelines; document methodologies.
• Build, package, and configure complex software systems across Linux.
• Improve efficiency, stability, and observability through profiling, metrics, and tracing.
• Validate work with methodical testing (unit/integration/e2e).
• Write clear technical documentation and workflow guides for artists and developers.
• Manage escalated troubleshooting and debugging for ML-driven tools and services.
• Work collaboratively under tight deadlines; mentor developers, assign tasks where appropriate, and report to the Head of ML Technology.

Engineering quality and coding standards:

• Enforce standards via CI: formatting (e.g., black/clang-format), linting (ruff/eslint, clang-tidy), typing (Python type hints, TypeScript), and test coverage gates.
• Require code reviews for all merges; maintain modular, testable designs with clear separation of concerns and DCC-agnostic cores where applicable.
• Documented APIs (OpenAPI/Protobuf), versioned schemas, and backward-compatible changes.
• Secure-by-default practices (authn/z, secrets management), performance budgets, and telemetry by design.

Primary technologies (coding language setup):

• Languages: Python 3.x (tooling and ML integration), C++17 (performance-critical components), TypeScript/JavaScript (web UIs).
• Web front-end: React (or Vue), modern build tooling, REST/GraphQL clients.
• Services: FastAPI/Flask, gRPC/HTTP; containerized on Linux.
• Build/packaging: CMake; setuptools/pip/poetry; RPM/deb where appropriate.
• VCS/CI: Git; GitHub/GitLab CI or Jenkins.

Skills & Requirements

Must have:

• Experience as an architect for Python applications
• Strong programming and shell-scripting skills (Python; Bash).
• Experience building and troubleshooting non-trivial packages (C++11–17, CMake, autotools, setuptools/pip/poetry, RPM).
• Linux expertise and command-line proficiency.
• Solid grasp of systems architecture and software engineering fundamentals.
• Ability to articulate complex technology to non-experts and collaborate openly.
• Confidence in navigating ambiguity and providing pragmatic solutions.
• Proactive mindset and comfort with multiple priorities.
• Logical, methodical approach to problem solving.

Nice to have:

• Experience as Lead on at least one project
• Significant experience with a major package/ports system.
• Experience monitoring, collecting, and analyzing diagnostics to drive resilience.
• Practical experience with Git and issue tracking systems (Jira).
• Familiarity with ops/CI/CD tooling (Elastic Stack, Graphite/Grafana/StatsD, Sensu, Jenkins/GitHub Actions).
• Understanding of sysadmin responsibilities (networking, filesystems, environment management).
• Relevant qualifications (CS/CE degree; RHCSA/RHCE, etc.).
• Demonstrable open-source contributions.

This role is crucial to implementing seamless ML capabilities across the DNEG/Brahma group, directly improving the tools that power projects from blockbuster features to premium television.

ADG is committed to nurturing a diverse and exciting workplace. Our teams have a variety of

backgrounds and originate from a number of different countries, working across the globe at the

forefront of technology in the industry.