Engineering Specialist _ R&D Content Authoring

• Design, architect, and implement complex technical features, applying best practices across the chosen technology stack and ensuring scalability, reliability, and maintainability.
• Collaborate closely with clientfacing and crossfunctional teams to understand business context, contribute to requirements gathering, and translate solution needs into actionable technical designs.
• Partner with technical architects to validate design decisions, review alternatives, and jointly define implementation approaches for highimpact components.
• Write highquality, productionready code that is modular, testable, maintainable, and resilient to edge cases and failure scenarios.
• Ensure delivery excellence by adhering to architecture guidelines, coding standards, and contributing actively to design and code reviews.
• Develop unit tests and higherlevel automated tests to ensure coverage of both expected and edge scenarios, improving overall solution reliability.
• Use engineering tools effectively version control, code review platforms, issue tracking systems, observability/monitoring tools to plan, organize, and deliver work.
• Participate in Agile ceremonies (scrum calls, sprint planning, retrospectives) and provide structured updates, blockers, and risk signals in a timely manner.
• Drive technical exploration by rapidly evaluating emerging technologies, conducting proofsofconcept, and presenting insights and recommendations to the broader team.
• Support the technical architect in shaping modulelevel and componentlevel architecture, ensuring alignment with the broader product or project blueprint.
• Break down complex, multistep features into clear, estimable tasks, lead the estimation process, and effectively communicate rationale to internal teams and clients.
• Independently lead implementation of complex or crosscutting features that span multiple services, components, or application layers.
• Troubleshoot and systematically debug issues using logs, alerts, monitoring dashboards, and diagnostic tools to drive quick and rootcauselevel resolution.
• Perform peer code reviews, including reviewing work from senior engineers, ensuring quality, consistency, and adherence to engineering standards.
• Mentor, coach, and develop technical talent within the team, providing guidance on best practices, design patterns, and coding workflows.
• Author and maintain product, asset, and technical documentationparticularly for content/authoring workflows within the RD domainensuring clarity, consistency, and knowledge continuity

What Youll Bring

• 5+ years of handson experience in deploying, productionizing, and scaling ML or GenAI applications in realworld environments.
• Deep expertise in ML Engineering platforms such as SageMaker, MLflow, Kubeflow, or equivalent orchestration frameworks.
• Strong command of distributed data technologies: Hive, Spark, Hadoop, and messaging/streaming systems such as Kafka, RabbitMQ, or AWS Kinesis.
• Ability to quickly learn new technologies, run independent POCs, and document insights in a structured, consumable format.
• Strong proficiency in at least one programming language: Python, PySpark, Java, or Scala, combined with a solid foundation in data structures and algorithmic thinking.
• Handson experience creating metadatadriven, reusable patterns for data ingestion, orchestration, and pipeline automation (batch + realtime).
• Experience designing and implementing solutions on distributed/cloud platforms: AWS, Azure, GCP.
• Practical exposure to CI/CD pipelines, DevOps practices, and application monitoring/observability tools
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach

How youll grow:

• Cross-functional skills development custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions