Microsoft Azure Machine Learning - Bengaluru, India - Invincible IT Services

Description

Job Description:
Azure Machine Learning Engineer

Title:
Azure Machine Learning Engineer (Remote)

Duration: 06 Months Contract


Location:
New York, NY


Role Description:
Invincible IT Services is seeking an experienced Azure Machine Learning Engineer for a client in the Consulting domain.

As an Azure Machine Learning Engineer, you will play a crucial role in understanding business use cases and recommending appropriate solutions using the Azure ML platform.

The primary responsibility will be to work with Azure ML Studio, ML Services, and ML Ops, and have a strong conceptual knowledge and working experience of all their features.

You will be evangelizing Azure Machine Learning services and demonstrating the functionalities and features to end-users. Additionally, you will evaluate Azure ML readiness for enterprises, encompassing parameters like security, integrations, and use cases.

Your expertise in machine learning model development and deployment (CI/CD) will be vital, as you work with the Engineering team to integrate various data sources, handle authorization, authentication, and connect to traditional SQL and new age data sources like Cloudera stack and PKI.

Responsibilities:

Understand business use cases/functionality and recommend appropriate solutions in Azure ML platform.

Work extensively with Azure ML Studio, ML Services, and ML Ops.

Demonstrate Azure ML Studio and services functionalities to end-users.

Evangelize Azure Machine Learning services.

Implement security policy enforcement and API management in Azure ML platform.

Perform enterprise readiness evaluation for Azure ML.

Develop and deploy machine learning models using CI/CD.

Integrate Azure ML with various data sources, including traditional SQL and new-age data sources like Cloudera stack and PKI.


Required Qualifications:
At least 3-4 years of experience in Microsoft Azure Machine Learning.

Strong conceptual knowledge and hands-on experience in Azure ML Studio, ML Services, and ML Ops.

Familiarity with machine learning concepts such as feature selection, deep learning, and AI.

Ability to communicate effectively and demonstrate Azure ML functionalities to end-users.

Proficiency in security policy enforcement, API management, and integration with diverse data sources in Azure ML platform.

Experience with Enterprises readiness evaluation for Azure ML on parameters like security, integrations, and use cases.

Hands-on experience in machine learning model development and deployment (CI/CD).


Job Type:
Freelance

Contract length: 2 months


Salary:
From ₹60,000.00 per month


Schedule:

• Day shift

Experience:

- total work: 4 years (required)


Ability to Commute:

• Bangalore, Karnataka (preferred)

Ability to Relocate:

• Bangalore, Karnataka: Relocate before starting work (preferred)