Senior AI / ML Engineer
Dolby Laboratories23 days ago
Bengaluru, IndiaSenior
Responsibilities
- Build data preparation, feature generation, training, testing, validation, deployment, and inference pipelines for production ML workflows.
- Design and operate ETL/ELT pipelines ingesting real-time event streams, third-party APIs, and media-rich sources into lakehouse systems.
- Deploy, monitor, and troubleshoot 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 including monitoring, alerting, and logging for pipelines and infrastructure.
- Own throughput, latency, reliability, cost, and operational health of end-to-end data and AI systems.
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 from training through 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, and 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, company resources, recognition for work, and 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.