Master\'s Degree in Computer Science, Statistics, Applied Math or related field
Full data life cycle of ingestion from various sources, storing in raw data store, Data curation & harmonization, Data processing/transformation, Data Storage, Interactive analytics and visualization
Should have knowledge on Azure.
Business & Data Understanding, Data Preparation, Model Development, Validation and Deployment
Understand business use cases functionality and recommend appropriate solution Azure ML platform.
Strong conceptual knowledge and working experience on all features of Azure ML Studio, ML Services and ML Ops.
Extensive background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modeling skills
Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities.
Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
Strong programming skills in Python using Databricks or MLFlow
Strong experience in ML algorithms
Excellent verbal and written communication skills with ability to demonstrate strong consultative and engaging presentation skills, with advanced Microsoft Office skills
Ability to provide oversight support to the design, development and quality teams and define areas of improvement to optimize data flows
Ability to quickly, regularly, and independently learn new technologies under the pressure of consistent high-profile project deliverables and industry focused solutions
Ability to work well in in-person and remote team situations, self-motivated and strong team player. Highly developed personal and professional ethics