Job Description

As a Senior Machine Learning Engineer, you will work with Data Scientists and Data Engineers to translate prototypes into scalable solutions. You will build, ship, run and monitor Coca-Cola’s global ML & AI solutions bridging the gap between Data Scientists and Operations. You will ensure that models conform to the ML strategy and guidance established by the Coca-Cola Data Science team. You should be proficient at building, training, deploying, and monitoring ML models on the Azure platform including Azure Machine Learning service and Synapse.

Responsibilities for Senior Data Engineer

Wrap models in a scoring function for an API or a scheduled batch run, wrapping a model in a simple web interface, ensuring appropriate logging for monitoring/observability, crafting documentation for HLA and API specs, configuring Docker/Kubernetes, etc.

Build streamlined data transformation pipelines, optimizing feature engineering steps, utilizing data caching services, integrating with other data engines/APIs, etc

Monitoring compute health and response latency of infrastructure for realtime (API) and batch model scoring

Monitoring health of data pipelines on which models depend (eg, handling delays in upstream ETL for scheduled batch scoring runs)

Troubleshooting issues with the above by utilizing logs/monitoring tools of various Azure services

Monitoring for anomalies in scoring volumes against an established benchmark (number of records per time period)

Monitoring for drift in model features over time and against an established benchmark (training/gold/canary dataset)

Enabling the correlation of ground-truth labels back to previous model predictions, and exposing the appropriate model performance statistics to stakeholders

Coordinating with necessary stakeholders and data scientists when issues arise with model scoring, performance or data drift

Coordinating the versioning and change management of models (ie, retraining), and enabling A/B split traffic testing if necessary for testing

Required Qualifications

University Degree (Bachelor) or equivalent experience with at least five years of prior relevant experience.

3+ years' experience with database systems, Azure cloud storage, and significant exposure to or experience with modern big data processing tools (such as Spark, Hadoop, and Databricks).

3+ years of experience building data engineering solutions and maintaining a data warehouse, data lake, or other data repositories.

3+ years of designing and transforming large data using Azure Data Services, Scala, Apache Spark, Data Factory, and Python in the cloud.

3+ years of experience designing data models (STAR, Vault, Tabular) for analytics.

Proven experience with SQL and Pl/SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with a variety of databases.

Experience developing batch processing solutions using Synapse, ADF, Data Factory, Data Lake, and Spark.

Experience integrating notebooks (PySpark, Scala) into data pipeline.

Polyglot development: Capable of developing in Scala and Python with good understanding of functional programming, SOLID principles, concurrency models and modularization.

Experience with DevOps and CI/CD pipelines for deploying services using Github Actions.

Desired Qualifications

Experience with Big Data migrations/transformations programs in the Data Warehousing / Business Intelligence areas.

Azure Certifications: DP-200: Implementing an Azure Data Solution DP-201: Designing an Azure Data Solution AZ-400: Designing and Implementing Microsoft DevOps Solutions or others related to the position.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stor

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.