Machine Learning Engineer

Location: Mumbai
Specialization: Telecom / IT-Hardware / Tech. Staff / Support,
Industry NA
Reference: 31118

The role will manage multiple projects under the digitalization Team and will be responsible for


  • Creation of analytical models using ML/DL/AI, data transformations, visualization & statistics.
  • 4+ years of strong experience, working on Apache ecosystem components like MapReduce, HDFS, HBase, Hive, Sqoop, Pig, Nifi, Oozie, Zookeeper, Flume, Spark, Beam, Flink, Python, R with AWS Big Data Services or Open Source components on EC2 with AWS.
  • Experience in developing & deploying Enterprise Architecture on AWS
  • Hands on experience on AWS cloud services (VPC, EC2, S3, RDS, Redshift, Data Pipeline, EMR, DynamoDB, DevOps, Lambda, Kinesis, RDS, SNS, SQS, EKS)
  • Experience in performing data enrichment, cleansing, analytics, aggregations
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis
  • Data analysis of structured and unstructured data from problem statement to model deployment & business impact perspective using ML/DL/AI
  • Proficient in big data ingestion and streaming tools like Flume, Sqoop, Kafka, and Storm
  • Experience with different data formats like Json, Avro, parquet, RC and ORC and compressions like snappy & bzip
  • Good Knowledge/Understanding of NoSQL data bases and hands on work experience in writing applications on NoSQL databases like Cassandra and MongoDB
  • Good knowledge on various scripting languages like Linux/Unixshell scripting and Python
  • Good knowledge of Dataware housing concepts and ETL processes using BW4HANA
  • Diverse experience in working with variety of Database like MySql, MariaDB and HANA.
  • Experienced in using IDEs and Tools like GitHub, Jenkins
  • Good experience of AWS Elastic Block Storage (EBS), different volume types and use of various types of EBS volumes based on requirement
  • Strong team player, ability to work independently and in a team as well, ability to adapt to a rapidly changing environment, commitment towards learning, & documentation skills
  • Practical knowledge of statistical packages like - R, Python Apache Open Source technologies, etc
  • Experience of working with applications like SAP Hana, BW4HANA, Salesforce from an integration perspective