Key Responsibilities
Design, develop, and deploy machine learning models and AI solutions using Azure services.
Build and maintain end-to-end ML pipelines for data preparation, training, validation, deployment, and monitoring.
Develop and manage MLOps practices, including model versioning, automation, and CI/CD processes.
Collaborate with data scientists to operationalize machine learning models.
Deploy and manage models using Azure Machine Learning and Azure Kubernetes Service (AKS).
Monitor model performance and implement retraining strategies as needed.
Optimize machine learning solutions for scalability, performance, and cost-efficiency.
Integrate AI/ML services into enterprise applications and business processes.
Ensure compliance with data governance, security, and regulatory requirements.
Document technical designs, workflows, and deployment procedures.

Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
3+ years of experience in Machine Learning,



Data Science, or AI solution development.
Hands-on experience with Azure Machine Learning (Azure ML).
Robust programming skills in Python.
Experience with machine learning frameworks such as:
Scikit-learn
TensorFlow
PyTorch
XGBoost
Knowledge of supervised and unsupervised learning techniques.
Experience in feature engineering, model evaluation, and model deployment.
Familiarity with REST APIs and integrating ML services into applications.
Solid understanding of data processing and ETL concepts.

Azure Skills
Azure Machine Learning Studio
Azure AI Services / Azure Cognitive Services
Azure OpenAI (preferred)
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Blob Storage
Azure Data Lake Storage
Azure Kubernetes Service (AKS)
Azure Container Registry (ACR)
Azure Key Vault
Azure Monitor

MLOps & DevOps Skills
CI/CD implementation

📌 Azure Machine Learning Chennai
🏢 Tata Consultancy Services
📍 Chennai