Machine Learning Engineer

Roles and Responsibilities:

As an ML Engineering Specialist you will be owning responsibility to operationalize ML models NLP Computer Vision and other type of models

End to End model lifecycle management starting from feature extraction to monitor machine learning models using high end tools and technologies

Design implementation of DevOps principles in Machine Learning

Model quality assurance governance and monitoring

Integrate models as part of business applications via APIs

Execute best practices in version control and continuous integration delivery

Collaborate with data scientists engineers and other key stakeholders

Work well in a fast-paced cross functional environment

Mandatory Skills Requirements

Experience in implementing machine learning life cycle on Azure ML and Azure Databricks along with other Azure services such as Azure DevOps Azure functions etc

Experience with Machine learning frameworks libraries and agile environments

Experience implementing Azure Cognitive services in business applications

Experience with various model deployment strategies

Experience with Python and SQL must understand of distributed frameworks such as Spark Dask Ray etc is a plus

Experience with version control tools such as Git Bitbucket etc

Knowledge on Docker Jenkins Kubernetes and other DevOps tools

Knowledge on Infra as a Code via ARM or Terraform templates

Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus

Outstanding analytical and problem-solving skills.

Skills

Mandatory Skills :