Bridgei2i : Data Engineer/Lead Data Engineer

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Brief Description of position:

ML Engineer

Roles & Responsibility:

  • Designing, developing and maintaining Machine Learning and Deep Learning systems on cloud/on-prem.
  • Execute, orchestrate and automate various machine learning tests and experiments.
  • Identification and implementation of the suitable and optimized ML algorithm / model / framework.
  • Translate business needs to technical specifications and framework
  • Maintain and support data analytics platforms & application.
  • Working closely with Data Integration, Data Science and Business Intelligence Team.
  • Guide junior developers in their duties when needed.
  • Recommend improvements to provide optimum solutions.
  • Conduct training programs and knowledge transfer sessions to junior developers when needed.

Qualifications/Education/Experience/Skills:

  • Bachelors’ degree in Computer Science/Electronics or a related field.
  • 3+ years of experience in developing Machine Learning systems or similar roles. 
  • Must have orchestrated at least 2 projects on machine learning system. Implementation using frameworks (like Keras, Pytorch, Tensorflow) is big plus.
  • Hands-on experience with Machine Learning libraries is must.
  • Demonstrable hands-on experience in Python (must) / R / Java.
  • Good Understanding and hands-on experience for development and implementation of Machine learning systems on cloud platforms like Azure ML studio, AWS sagemaker, Databricks, Google AI Hub and Google Bigquery will be an added advantage.
  • Hands-on experience on containerized application using Docker / Kubernates and DAG based Orchestrator like Airflow.
  • In-depth knowledge on CI/CD and DevOps automation using tools like AWS / Azure DevOps, Google Cloud Build, Bitbucket, Github, Jenkins etc.
  • Should have strong knowledge on the cloud native applications, e.g.,
  • AWS: S3, RDS / Redshift, Glue, lambda, batch, cloudwatch, IAM role
  • Azure: Storage Accounts, ADF, SQL DW (Synapse) / AAS, Azure logic apps, Azure functions, Azure AD.
  • Google: Cloud storage, Bigquery, App engine, compute engine, cloud function, IAM role.
Location
Bangalore
Minimum Work Experience:
3 years
Minimum Qualification:
Graduate
Mandatory SkillSet:
Machine Learning, Deep learning, Keras, PyTorch, Tensorflow, R, Java, Tensorflow, Azure DevOps, AWS, Google Cloud Build, Bitbucket, Github, Jenkins.

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