About the Company

We are a technology-driven organization focused on building advanced AI and machine learning solutions for modern business challenges. Our expertise lies in leveraging cloud platforms, particularly Microsoft Azure, to design scalable, secure, and high-performance systems. We emphasize innovation, efficiency, and collaboration to deliver impactful AI-powered solutions across industries.

Introduction

We are seeking an experienced AI Azure ML Engineer to design, develop, and deploy end-to-end AI/ML solutions using Microsoft Azure services. This is a contract-based remote role for professionals based in India, requiring availability during US Central Time overlap hours. The ideal candidate will have strong expertise in machine learning systems, MLOps practices, and cloud-based deployments, along with a passion for building scalable and efficient AI solutions.

Key Responsibilities

AI/ML Solution Development

Design and architect end-to-end AI/ML solutions using Microsoft Azure services.
Develop and deploy machine learning models for real-world applications.
Ensure solutions are scalable, efficient, and aligned with business requirements.

ML Pipeline & Data Engineering

Build and manage complete ML pipelines including data ingestion, preprocessing, feature engineering, training, deployment, and monitoring.
Prepare and analyze data to create high-quality inputs for AI systems.
Work with structured and unstructured datasets to enable model performance.

MLOps & Deployment

Implement MLOps practices, including CI/CD pipelines and automated deployment workflows.
Monitor model performance and ensure reliability in production environments.
Optimize models and pipelines for performance and cost efficiency.

AI Systems & Optimization

Build and manage vector indexes for AI retrieval systems.
Evaluate and select appropriate ML frameworks, tools, and platforms.
Ensure compliance with cloud security, performance, and cost optimization standards.

Collaboration & Communication

Collaborate with data engineers, data scientists, and cross-functional teams.
Work effectively in a global team environment with distributed stakeholders.
Communicate technical solutions and progress clearly.

Required Qualifications

Strong experience with Microsoft Azure services, including Azure Machine Learning and data services.
Hands-on experience in AI/ML model development and deployment.
Knowledge of MLOps practices, CI/CD pipelines, and model lifecycle management.
Experience with data preprocessing, feature engineering, and data analysis.
Familiarity with vector databases and AI retrieval systems.
Strong programming skills, preferably in Python.
Understanding of cloud security principles and cost optimization strategies.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
Experience working on Azure-based AI/ML projects.
Experience collaborating with global or distributed teams.
Familiarity with modern AI frameworks and tools.

Why Join Us / Benefits

Opportunity to work on advanced AI/ML solutions using Microsoft Azure.
Remote work flexibility for India-based professionals.
Exposure to global teams and international projects.
Work on scalable, production-grade AI systems.
Growth opportunities in AI, cloud, and MLOps domains.