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Bridgei2i : Data Engineer/Lead Data Engineer
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
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