▷ (Only 24h Left) Senior Machine Learning Engineer

7 days ago

Bengaluru, India Client of TPG Search Full time
AS ML Engineering Lead:

- Support R&D of distributed, highly scalable, and fault-tolerant microservices- Use test-driven development techniques to develop beautiful, efficient, and secure code- Create and scale high-performance services that bring new capabilities to data science organizations- Execute on deliverables on the roadmap of ML engineering, modeling, and operations at Organization.- Identify problems proactively and propose novel solutions to solve them- Continuously learn and expand your technical horizons

WE’RE LOOKING FOR SOMEONE WHO:

- Will collaborate closely with our data science and ML teams across different cybersecurity domains to define ML infrastructure requirements and build critical data services- Can leverage MLOps best practices to design and develop scalable model training, evaluation, experimentation and deployment workflows- Has extensive experience in ML training (local and distributed), feature extraction, dataset creation- Is comfortable deploying software with CI / CD tools including Jenkins, Harness, Terraform etc.- Is an expert at developing and deploying assets in the cloud - preferably AWS and Kubernetes using IAC (infrastructure as code)- Can build a workflow orchestration platform to be used by other developers- Has hands-on experience of 2+ years implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications and ML pipelines- Has experience designing optimized solutions for ingestion, curation of large datasets- Has working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro), and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale- Maintains a proficient level in one of the following programming languages or similar- Python, Java, Go- Has experience with data pipelines tools (Flink, Spark or Ray) and orchestration tools such as Airflow, Dagster or Step Functions- Is an expert in implementing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like)

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