Must Have SkillsAzure MLOps Fundamentals CI CD CT Pipelines of ML with Azure Demo Open AI Generative AI Snowflake Modeling Fundamentals Linear Regression Azure DevOps Solution Architect PythonExperience Level10 - 15 YearsEmployee TypeHourlyExternal DescriptionAlso below is the refined JD for Architect role We are seeking an experienced AI ML Architect to lead the design and delivery of scalable enterprise-grade artificial intelligence and machine learning solutions The ideal candidate combines robust technical expertise with architectural vision to transform business objectives into intelligent data-driven systems with a deep dive expertise in ML frameworks data pipelines model lifecycle management and cloud-based AI service s Key Responsibilities Design End-to-End AI ML Solutions using scalable architectures covering data ingestion feature engineering model development training deployment and monitoring using Azure ML Databricks Synapse ADF and Snowflake Snowpark Streams Tasks Leverage AI Foundry for enterprise-grade AI workflows model orchestration and automation Define and implement frameworks for model versioning experiment tracking retraining pipelines CI CD and monitoring using MLflow Azure ML Pipelines AI Foundry Docker Kubernetes and GitHub Actions Evaluate and recommend optimal ML algorithms frameworks and cloud services e g Azure ML Snowflake Databricks Drive AI Strategy collaborate with business and data stakeholders to align AI ML initiatives and roadmap with organizational goals and measurable outcomes Ensure Quality Performance Compliance are implemented using standards for data privacy model fairness explain-ability and operational excellence Mentor and Lead Teams on solution design best practices and reusable accelerators Preferred Qualifications Bachelor s or Master s degree in Computer Science Data Science or related field 8 years in data science ML or AI engineering with at least 2 years in a solution architecture role Hands-on experience with Python SQL ML frameworks TensorFlow PyTorch Scikit-learn and MLOps tools MLflow Azure ML Pipelines Docker Kubernetes Proven experience deploying and optimizing ML models in Azure cloud and integrating with Snowflake data platforms Solid understanding of data pipelines feature stores cloud-native AI ML architectures and ETL workflows Job Type Contractual Temporary Pay Up to 2 800 000 00 per year Work Location Remote

📌 Ai/ml Architect-mpg -10 Years Experience Required - Remote Job (India)
🏢 Waayslive solution
📍 India