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 :