Consultant- Azure AI Engineer Job in Noida at Genpact

Genpact is hiring for the role of Consultant- Azure AI Engineer!

Responsibilities of the Candidate:

• Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics).
• Model Deployment & Management: Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning models in Azure.
• Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference.
• Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability.
• Collaboration: Work collaboratively with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems.
• Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure.
• Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem.
• Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines.
• Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends.

Requirements:

• Bachelor's or master’s degree in computer science, Engineering, Data Science, or a related quantitative field.
• Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure.
• Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
• Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring.
• Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.
• Solid understanding of software engineering principles, including version control (Git), testing, and code review.
• Experience with containerization technologies (Docker, Kubernetes).
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.
• Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).
• Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service.
• Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics).
• Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
• Understanding of distributed computing concepts and big data technologies.
• Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP).