Senior AI / ML Engineer
Dolby Laboratories23 days ago
Bengaluru, IndiaSenior
Responsibilities
- Create data preparation, feature generation, training, testing, validation, deployment, and inference pipelines for production ML workflows.
- Design, build, and operate ETL/ELT pipelines ingesting real-time event streams, third-party APIs, and media-rich sources into a lakehouse architecture.
- Deploy, monitor, and troubleshoot containerized data services and distributed processing applications in Kubernetes environments.
- Build SDKs, APIs, and reusable frameworks for engineering and research teams.
- Implement data validation, reconciliation, monitoring, catalogs, and metadata governance.
- Design monitoring, alerting, and logging to improve pipeline and infrastructure observability.
- Own system throughput, latency, reliability, cost, and production operational health.
Requirements
- 5+ years of experience in data engineering, data platform engineering, AI engineering, or a closely related field.
- Expert-level proficiency in at least one of Python, Scala, or Java.
- Hands-on experience building production ML/AI pipelines through training, testing, validation, and deployment.
- Production experience with Databricks, Lakehouse architecture, Delta Lake, Spark optimization, and Workflows.
- Deep production-scale experience with Ray, Apache Spark, or an equivalent distributed processing framework.
- Hands-on experience deploying, operating, and troubleshooting production Kubernetes workloads.
- Strong experience with AWS, GCP, or Azure and their data services.
- Advanced SQL skills and solid knowledge of relational and NoSQL databases.
- Understanding of data modeling, schema design, lake, lakehouse, and warehouse patterns.
- Experience with messaging, publish/subscribe systems, queues, or streaming platforms.
- Preferred qualifications include experience with MLflow, Airflow, Kubeflow, Feast, feature stores, vector databases, embedding pipelines, retrieval systems, batch and online inference, generative AI, LLMs, multimodal AI, GPU optimization, distributed computing, CI/CD, infrastructure-as-code, and open-source data or AI projects.
- Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
Benefits
- Flexible Flex Work approach supporting where, when, and how employees work best.
- Collegial culture, challenging projects, and opportunities for recognition.
- Compensation and benefits are described as excellent, with no specific figures provided.
Tech Stack
Categories
Data EngineeringML Engineering
About Dolby Laboratories
Dolby Laboratories develops audio, imaging, and voice technologies—such as Dolby Atmos and Dolby Vision—licensed to device makers, streaming platforms, game studios, and cinemas. The NYSE-listed company (ticker: DLB), founded in 1965 and headquartered in San Francisco, also provides software and hardware for content creation and playback, generating revenue primarily from technology licensing and cinema products used in theaters worldwide.