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Ernst & Young

Global professional services: consulting, assurance, tax

DE-Full stack Backend Engineer-GDSN02

Applied Machine LearningUpdated on Nov 14
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience in Azure Web Apps development and deployments.
  • Experience with microservices and serverless architecture, including Service Fabric, Functions, API Apps, Service Bus, and message queues.
  • Experience with .NET and Web API (.NET Core).
  • Experience using Visual Studio, TFS, VSTS, and Git.
  • Experience with C#/.NET and generative AI prompts.
  • Ability to implement Azure security.
  • Python basics are required.
  • Python, Function Apps, Synapse, CI/CD, and SQL are identified as skills the candidate should have.
  • Ability to monitor, troubleshoot, and optimize solutions.
  • Experience with serverless computing, including Logic Apps and Functions.
  • Experience in DevOps and creating and using ARM templates.
  • Ability to connect to and consume Azure and third-party services.
  • Experience with CI/CD, DevSecOps, and setting up and managing build and release pipelines.
  • Good experience creating DevOps pipelines.

Responsibilities

  • Implement adopted design and development methodologies, patterns, and toolsets.
  • Understand business objectives and design models to achieve them, along with metrics to track progress.
  • Manage available resources such as hardware, data, and personnel to meet deadlines.
  • Explore and visualize data, identify differences in data distribution that could affect real-world model performance, and verify data quality or ensure it through data cleaning.
  • Design and develop machine learning algorithms and novel algorithms.
  • Discover, design, and develop analytical methods to support novel approaches to data and information processing.
  • Perform explanatory data analyses.
  • Prepare and analyze historical data and identify patterns.
  • Provide technical support for program management and business development activities, including proposal writing and customer development.
  • Supervise the data acquisition process when additional data is needed.
  • Find available online datasets for training.
  • Train models and tune their hyperparameters.
  • Analyze model errors and design strategies to address them.
  • Deploy models to production.

Desired Qualifications

  • Expertise with Azure Active Directory, virtual networks, network security groups, application security groups, OAuth, OpenID Connect, Azure Traffic Manager, content delivery networks, Application Gateway, and load balancers is an added advantage.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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