Deploy machine learning models created by the Data Science Team

Examine and align model requirements with structure using Excel

Create Python scripts to aid model deployment and data workflows

Compose and enhance SQL queries to extract and manipulate data

Work alongside team members to ensure effective AWS model deployment

Document processes related to model development and deployment

Engage with stakeholders to clarify requirements and report progress

Conduct testing and debugging to guarantee quality outputs

Track performance of live models and recommend enhancements

Assist with data integration through Snowflake and Oracle databases

Take part in code reviews to uphold coding standards

Keep abreast of new technologies in data science and cloud computing

Proven track record in Data Science or Data Analytics with at least 3 years of experience

Expert-level proficiency in Python programming, including Pandas

Strong command of SQL for data management

Advanced knowledge of AWS services such as Step Functions, Lambda, serverless architectures, and ECS

Intermediate experience working with Snowflake and Oracle databases

Familiarity with machine learning model deployment is advantageous

Excellent communication skills for collaboration with teams and clients

Capability to analyze and synchronize requirements with technical solutions

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

Experience in deploying machine learning models

Competence with Excel for data analysis and requirements alignment

Understanding of serverless computing best practices

Awareness of cloud security concepts

Certifications in AWS or relevant data science domains