Azure AI Engineer

Overview

Job Title: Azure AI Engineer

Location: Remote India

Experience: 4+ Years

Contractual: 6 Months

AI/ML Model Development & Integration:

-Design, build, and integrate AI models into enterprise applications, particularly in Natural Language Processing (NLP).

-Leverage Azure Cognitive Services to implement AI capabilities such as language understanding, text analytics, and language generation.

-Integrate AI models into workflows using Azure Functions and Logic Apps for efficient, scalable solutions.

Skills and Qualifications:

Core Skills:

-Strong expertise in AI/ML model development, particularly in Natural Language Processing (NLP).

-Hands-on experience with Azure Cognitive Services, Azure Functions, and Logic Apps for developing and integrating AI solutions.

-Deep understanding of Azure Machine Learning and containerization with Kubernetes for model deployment and orchestration.

-Experience in building scalable and high-performance AI systems in production environments

Technical Expertise:

-Proficiency in Python, Azure SDK, and other AI/ML frameworks (e.g., TensorFlow, PyTorch).

-Solid understanding of cloud architecture, microservices, and serverless solutions on Azure.

-Experience with data processing tools such as Azure Data Factory and Azure Databricks.

Preferred Qualifications:

-Certifications in Azure Data Engineer, Azure AI Engineer, or AWS Data Analytics.

-Knowledge of AutoML frameworks and AI-driven automation.

-Strong problem-solving skills and ability to work in a fast-paced environment.

Contact Us to Apply:

If you are interested in this position, we'd love to hear from you!

Email: career@munificentresource.in (Subject – Azure AI Engineer)

Phone: +91- 9064363461

NOTE: We are looking for Immediate Joiners who can join within 7-15 days .

Job Types: Full-time, Contractual / Temporary
Contract length: 6 months

Pay: Up to ₹65,000.00 per month

Benefits:

• Health insurance
• Life insurance
• Work from home

Schedule:

• Night shift
• Rotational shift
• US shift

Supplemental Pay:

• Overtime pay

Experience:

• Azure: 4 years (Required)

Shift availability:

• Night Shift (Required)

Work Location: Remote