Machine Learning Engineer Jobs in Bangalore - Mobileum

Machine Learning Engineer

Mobileum

0 to 3 Years

Not disclosed

Expired

Posted: 01 Mar 21

Responsibilities

Work with Data Scientists to packaging and operationalizing ML pipelines in production
Create scalable Real-time prediction applications on high-volume data using Kafka, SparkML, Pyspark, Kubernetes, etc.
Create feature engineering pipelines to process high-volume, multi-dimensional, unstructured( audio, video, NLP ) data at scale
Evaluate and integrate ML libraries/algorithms from open-source libraries - Python, Spark ML, H2O. ai, Java in ML Workbench
Automate exploratory analysis with standard statistical analysis and visualisations
Provide framework for embedding, sharing and deploying ML models/APIs across applications using Kubeflow, MLflow, MLeap, etc
Work with Data-scientists to write new algorithms and analytical functions in Python, Java or Scala

Requirements

B. Tech/BE in Computer Science or Applied Mathematics Mobileum.
Proprietary and Confidential.
Hands-on experience of developing real-time applications using spark streaming and Kafka, etc
Well familiar with ML and Deep-learning libraries implementation - PyTorch, Keras, Tensor-flow, sklearn, Dask, etc
Understanding of multi-dimensional and probabilistic data-structures -Graph, Tensor, Tree, Arrays, Vectors, etc
Understanding of data transformations and analytics functions on high-volume data- join, group by, filter, aggregation, lag, count distinct
Hands-on experience of handling unstructured data - Image, Video, Audio, text
Good knowledge of linear algebra, probability, statistics and algorithms
Ability to write robust code in Python, Java/Scala
Understanding of end-to-end ML project lifecycle
Familiarity with any Cloud ML workbench - Azure, SageMaker, GoogleAI is a plus
5+ years of work-experience as a Machine Learning Engineer.