ML (Data) Platform Engineer
LyricSupply Chain company
IndiaMid
Insight Partners
Primary Venture Partners
Permanent Capital Ventures
VMG Partners
PSP Partners
NewBuild Venture Capital
Data & AI
About the role
TL;DR
Build scalable data platforms for ML and analytics at Lyric
- •Lyric is looking for an ML (Data) Platform Engineer to help scale our AutoML platform
- •a system deeply intertwined with data management, feature engineering, and time series forecasting at scale.
- •Key Responsibilities Build and scale data management systems that power our AutoML and forecasting platforms Own and evolve the feature store and feature engineering workflows Implement robust data SLAs and lineage systems across time series data pipelines Collaborate with ML engineers, infra, and product teams to ensure scalable and user-aware platform design Drive architectural decisions around data distribution, versioning, and composability Participate in the design of reusable systems for varied supply chain problems Requirements Strong experience working with large-scale data systems (Big Data, distributed pipelines) Hands-on experience with ETL pipelines, data lineage, and data reliability tooling Proven experience in ML feature engineering and/or building feature stores Exposure to time series data, forecasting pipelines, or AutoML workflows Strong problem-solving and design thinking ability
- •can break down ambiguous platform problems
Required skills
PandasNumPySparkAirflowdbtTableauPower BILookerSnowflakeDatabricksFivetranDagsterPrefectApache KafkaApache Flink
Nice-to-have skills
SageMakerVertex AI
Domain expertise
logistics
Tech stack
PandasNumPySparkAirflowdbtTableauPower BILookerSnowflakeDatabricksFivetranDagsterPrefectApache KafkaApache FlinkTensorFlowPyTorchscikit-learnKerasSageMakerVertex AIONNXJAXPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBCassandra