Job Description

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

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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 strong 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