Machine Learning Engineer

AbbVie

Machine Learning Engineer developing and deploying machine learning systems at AbbVie. Collaborating with data scientists and engineers in designing and implementing ML solutions.

Posted 7/24/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $109,500 - $208,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning systems, including proficiency in Python, data manipulation frameworks, and MLOps practices. Capable of collaborating effectively with cross-functional teams while maintaining strong communication and documentation standards.

Highest-signal resume keywords

Machine Learning Pipeline DevelopmentPython ProgrammingMLOps PracticesData Manipulation with PandasCloud Environment Experience (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPythonData ManipulationStatistical AnalysisModel EvaluationFeature EngineeringSQLETL/ELT ConceptsAPIsMicroservices

Soft Skills

Interpersonal CommunicationVerbal CommunicationWritten CommunicationTeam CollaborationFlexibility

Tools & Technologies

PandasPySparkScikit-learnTensorFlow/KerasPyTorchMLlibDockerKubernetesCollaboration ToolsStreaming Data Processing

Industry Keywords

Machine Learning SystemsData PipelinesModel Performance MonitoringData Drift DetectionProduction Environments

Tech Stack

Tools & technologies

AWSCloudDockerETLKerasKubernetesMicroservicesPandasPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Own small to medium components of machine learning systems from technical design through implementation and delivery
Translate technical requirements into high-quality, maintainable code and deliver workstreams according to plan
Build and maintain data pipelines and feature engineering workflows to support machine learning and AI solutions
Design, train, evaluate, and refine machine learning models with minimal supervision, applying sound statistical and engineering practices
Implement ML solutions that can be deployed into production environments as microservices, APIs, batch jobs, or streaming components
Support production monitoring efforts by helping define and implement metrics for model performance, data drift, anomalies, and retraining triggers
Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, and business stakeholders to deliver project objectives
Understand system design, data models, and technical artifacts well enough to contribute to implementation decisions and tradeoffs
Follow governance, documentation, coding, and source control standards consistently
Demonstrate flexibility and proactively support teammates with day-to-day responsibilities as needed
Clearly document and communicate work progress, technical decisions, and outcomes to technical and non-technical audiences

Requirements

What you’ll need

Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field
3+ years of practical experience building, evaluating, scaling, and deploying machine learning pipelines with Python
Strong programming skills in Python and solid understanding of core computer science principles
Experience with data manipulation frameworks such as Pandas and PySpark
Experience with machine learning libraries such as scikit-learn, HuggingFace, TensorFlow/Keras, PyTorch, or MLlib
Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection
Working knowledge of SQL and relational data structures
Familiarity with batch and streaming data pipeline concepts such as ETL, ELT, and stream processing
Experience working with cloud environments, preferably AWS
Familiarity with technologies such as APIs, microservices, Docker, and Kubernetes
Strong interpersonal, verbal, and written communication skills
Ability to work effectively in a remote environment using collaboration tools

Benefits

Comp & perks

Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Long-term incentive programs