Deploy machine learning models created by the Data Science Team

Interpret model requirements and ensure alignment with model frameworks using Excel

Create Python scripts to facilitate model deployment and data workflows

Optimize and author SQL queries for effective data retrieval and transformation

Partner with team members to guarantee smooth model deployment on AWS architecture

Document the processes involved in model development and implementation

Engage with stakeholders to clarify requirements and provide progress updates

Conduct testing and debugging to deliver high-quality code

Oversee the performance of live models and recommend enhancements

Facilitate data integration with Snowflake and Oracle databases

Review code contributions to uphold coding standards

Keep abreast of emerging technologies in data science and cloud platforms

Proven experience in Data Science or Data Analytics roles for at least 3 years

Advanced proficiency in Python programming with expertise in Pandas

Strong command of SQL

Solid experience with AWS services including Step Functions, Lambda, serverless architectures, and ECS

Working knowledge of Snowflake and Oracle databases

Familiarity with machine learning model implementation is advantageous

Excellent communication skills for collaboration with teams and clients

Ability to analyze and map requirements to technical solutions

English proficiency at B2 (Upper-Intermediate) level or higher

Hands-on experience with machine learning model deployment

Proficiency in Excel for data analysis and requirements alignment

Understanding of serverless computing best practices

Knowledge of cloud security concepts

AWS or data science certifications