Data Scientist

2 weeks ago

Gurgaon, Haryana, India UnitedHealth Group Full time
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.

The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.

Come make an impact on the communities we serve as we help advance health equity on a global scale.

Here, you will find talented peers, comprehensive benefits, a culture guided by diversity and inclusion, career growth opportunities and **your life's best work.

(sm)

Role:
Azure Machine Learning Engineer

Primary Responsibilities:

  • Understand business use cases/ functionality and recommend appropriate solution in Azure ML platform
  • Aware of Machine Learning concepts like feature selection/deep learning/AI.
  • Evangelize Azure Machine Learning services
  • Able to demonstrate the Azure ML Studio and services functionalities and features to all end users
  • Able to perform Enterprises readiness evaluation for Azure ML on various parameters like security, integrations and use cases.
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or reassignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

  • Undergraduate degree or equivalent experience
years of hands on experience of solving real world business problems leveraging data science tools

  • Handson experience in Machine Learning model development/deployment (CI/CD)
  • Experience in end to end implementation of ML solutions in Azure Platform in batch as well as Real time mode
  • Strong conceptual knowledge and working experience on all features of Azure ML Studio, ML Services and ML Ops
  • Well versed with concepts for security policy enforcement, API Management and Integration with various data sources in Azure ML platform
  • Sound knowledge of tabular data handling & manipulation
  • Proficient in MS Office tools as Excel/PowerPoint/Access
  • Working experience of statistical techniques (like linear regression, logistic regression, time series analysis, clustering, and decision trees) and machine learning techniques
  • Primary Skills: Microsoft Azure Machine Learning


 Storage
  • Deep experience in handling storages in Azure AI-ML workspace.

Strong experience in using the following:

  • Azure SQL and no SQL DBs
  • ADLS Gen2 DBs
  • Azure Cosmos DBs
  • Azure Datastore assets
  • Azure Blob Storages
  • ML Services entire ecosystem of Azure ML Studio & associated architecture & managed Services:
  • Experience in using Azure ML Studio, Auto ML and Python SDK to train & deploy ML models
  • Designing ,running & monitoring
  • Model training Pipelines using Azure ML assets & SDK
  • Training multiple models at scale & efficiently logging & managing their concurrent results using Azure ML toolkit like Hyperdrive run.
  • Experience in designing, deploying and Monitoring
  • Production pipelines as an Azure ML endpoints
  • Compose solutions to monitor & manage data drift using the Azure AI-ML Studio's assets


 MLOps(Azure Data Factory)
  • Proven track records of developing and deploying at scale ML products using ADF:
  • Deep knowledge in Azure Data Factory ecosystem
  • Using ADF to design, deploy, run, schedule & monitor
  • Training pipelines developed in Azure ML studio.
  • Handling integration of ADF with Databricks Pipeline & Azure ML pipeline
  • Scheduling & monitoring of production grade ML pipelines on ADF
  • Snowflake:
  • Understanding of Data Warehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Data warehouse as well as SQL and Azure 'big data' technologies
  • Handson working knowledge of Snowflake Architecture (Access Control, provisioning etc)
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Deployment Services:
  • Experience in using AKS (Azure Kubernetes Service) & ACS (Azure Container Service)
  • Knowledge of Terraform for cloud maintainability.
  • Automate infrastructure provisioning and able to integrate it to azure pipelines
  • Experience in creating and deploying Docker container
  • Expertise in creating and deploying CI/CD pipelines using Azure DevOps
  • Excellent written and oral communication skills
  • Excellent problemsolving & storytelling abilities with analytical mindset
  • Excellent interpersonal and team skills
  • Ability to w

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