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Posted 1mo ago

ML Software Developer , ML Technology

@ DNEG
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Bengaluru or India
OnsiteFull Time
Responsibilities:Deploy ML, Build UI, Collaborate stakeholders
Requirements Summary:Strong programming and shell-scripting skills; experience building/troubleshooting ML tooling and software systems; ability to design front-end UIs and integrate ML workflows.
Technical Tools Mentioned:Python, C++, TypeScript, JavaScript, React, FastAPI, Flask, gRPC, REST, Linux, Bash, CMake, Git, Jenkins, Poetry, RPM, DEB
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Job Description

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 Software Developer, you will deliver 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 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:
  • 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:
  • 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.