Xen.AI · 17 hours ago

Sr. Full Stack Azure Developer

United States

Part-time

Remote

Senior Level

5+ years exp

Maximize your interview chances

Artificial Intelligence (AI)Information Services

No H1B

Insider Connection @Xen.AI

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Develop AI, Machine Learning and Data Science proof of concept solutions for client projects delivery.

Work with Azure cloud services and infrastructure to deliver end to end software solutions.

Utilize Azure cloud development components like Azure functions, Azure Data Factory, Azure Event hubs, and Power BI.

Develop ML products using Azure ML, Azure ML studio, and ML Flow.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Azure cloudPythonSQLAzure functionsAzure Data FactoryAzure Event hubsPower BIAzure MLAzure ML studioML FlowVSCodeGithubFlaskSpark MLSpark SQLPandasNumpySci-kit learnCan-do attitude

Required

5-7 years of proven hands-on, application development experience on Azure cloud.

Hands-on development experience with Azure cloud development components like Azure functions, Azure Data Factory, Azure Event hubs, and Power BI.

Programming experience: Python, SQL.

Experience with VSCode, Github is required.

Proven track record of successfully delivering innovative software and/or AI/ML.

Highly self motivated.

Well organized, focused, aggressive, result oriented, can-do attitude.

Excellent leadership skills.

Excellent communication skills.

Bachelors/Masters Degree in Computer Science or related field.

Must have Work Authorization in the US, we will not be able to support any VISA sponsorship. No H1B or OPT.

Preferred

Experience with Flask preferred.

Knowledge of Spark ML/Spark SQL is a plus.

Experience developing ML products using Azure ML, Azure ML studio, and ML Flow is a strong plus. Accompanying knowledge of common python libraries such as pandas, numpy, sci-kit learn etc will be expected.