- 8+ years of experience in data science and machine learning

- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)

- Expertise in statistical modelling, machine learning, and deep learning techniques

- Experience in designing scalable data and ML architectures

- Strong understanding of data structures, algorithms, and software engineering principles

- Experience with SQL and big data technologies (Spark, Hadoop)

- Hands-on experience with REST APIs and microservices-based deployment

- Hands-on experience with ML Pipeline & Model Life Cycle Management & Promotion

Broad and deep understanding of :

- ML/DL techniques + when to use what

- Trade-offs (accuracy vs latency vs cost)

- Should have deep understanding of cost implications and should be able to suggest ways to improve.

Preferred (Azure-Focused) Skills :

- Hands-on experience with Microsoft Azure ecosystem, including :

1. Azure Machine Learning

2. Azure Data Services

- Experience in deploying ML models using Azure ML pipelines and endpoints

- Familiarity with Azure DevOps for CI/CD and MLOps workflows

- Knowledge of cloud architecture patterns and cost optimization on Azure