AI/ML Engineer - Starcom consulting limited

Role Bullets

•& & & & & & & & & & & Build data pipelines for analytics and machine learning (ML) purposes

•& & & & & & & & & & & Design, build, test, and deploy ML models

•& & & & & & & & & & & Prepare data programmatically for statistical modeling

•& & & & & & & & & & & Deploy and manage instances of ML models/containers within the data pipeline

•& & & & & & & & & & & Document ML deployments and data pipelines

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Job Description

The AI/ML Engineer will work with the data architect and data analytics team to construct data storage and data pipelining solutions for ML and analytic products.& They will manage the creation of data storage solutions for data retrieved from TCTP, as well as data quality and transformation pipelines for any data intended for insight generation (through ML services or statistical modeling).& AI/ML Engineers will configure required cloud services and containers for data analytics or ML modeling work and will have responsibility for deploying productionized ML models and ensuring that all outputs are available for dashboarding.& They will also contribute to the documentation of the ML deployments and data pipelines for which they are responsible

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Qualifications

•& & & & & & & & & & & 3+ years of experience with SQL

•& & & & & & & & & & & Experience with Python for statistical or ML purposes

•& & & & & & & & & & & Experience and understanding of feature engineering for ML purposes

•& & & & & & & & & & & Experience with Spark/PySpark, AWS Glue, or other ETL tools

•& & & & & & & & & & & Familiarity with any requisite data architecture or technologies used by the client (AWS)

•& & & & & & & & & & & Experience with Sagemaker and other AWS ML tools

•& & & & & & & & & & & Experience implementing and managing instances of ML models/containers within the client data tech stack

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Common Optional Qualifications

•& & & & & & & & & & & Can help with data normalization, quality assurance, data manipulation, etc. for preparation for ML instances

•& & & & & & & & & & & Ability to communicate effectively with system data engineers and clients to understand how best to architect