Senior Associate_Data Science_Data & Analytics_Advisory

• Build, Train, and Deploy ML Models using Python on Azure/AWS
• 3+ years of Experience in building Machine Learning and Deep Learning models in Python
• Experience on working on AzureML/AWS Sagemaker
• Ability to deploy ML models with REST based APIs
• Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc) as we'll as common database systems and value stores (SQL, Hive, HBase, etc)
• Ability to work directly with customers with good communication skills.
• Ability to analyze datasets using SQL, Pandas
• Experience of working on Azure Data Factory, PowerBI
• Experience on PySpark, Airflow etc
• Experience of working on Docker/Kubernetes

Degrees/Field of Study required Bachelor of Engineering, Master of Engineering, Master of Business Administration Degrees/Field of Study preferred Data Science, Machine Learning Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation