Senior AI/ML Engineer
Dolby Laboratories2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Build data preparation, feature generation, training, validation, deployment, and inference pipelines for production ML systems.
- Design, build, and operate ETL/ELT pipelines from real-time event streams, third-party APIs, and media-rich sources into lakehouse systems.
- Deploy, monitor, troubleshoot, and operate containerized data services and distributed processing workloads on Kubernetes.
- Develop SDKs, APIs, and reusable frameworks for engineering and research teams.
- Implement data validation, reconciliation, monitoring, catalogs, and metadata governance.
- Design observability systems with monitoring, alerting, and logging for pipelines and infrastructure.
- Own throughput, latency, reliability, cost, data versioning, and reproducibility across ML and data workflows.
Requirements
- 5+ years of experience in data engineering, data platform engineering, AI engineering, or a closely related field.
- Expert-level proficiency in 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 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, pub/sub, queues, or streaming platforms.
- Preferred 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, or open-source data and AI projects.
- Bachelor’s or master’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, significant ownership, recognition for work, and excellent compensation and benefits.
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.