Senior ML Software Developer, ML Technology (Mumbai)

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 DNEGs 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 up-to-date 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++1117, 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. .