Lead ML Engineer: Scale AI Systems & MLOps Leader

AbbVie; California (MO); On-site; USD 170,000 - 210,000; Full time

Job summary

AbbVie is seeking an experienced ML engineering leader to design and deliver scalable ML systems across product teams. You will architect training, deployment, monitoring, and governance for production models, collaborating with data scientists, data engineers, and software engineers.

This role emphasizes technical leadership, driving ML initiatives, optimizing performance, and ensuring security and reliability in production.

Qualifications

• Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field.
• 7+ years of experience as an engineer specialized building Machine Learning systems.
• 2+ years of technical leadership delivering machine learning solutions in partnership with engineers, scientists, and business stakeholders.
• Strong programming skills in Python and understanding of core computer science principles.
• Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
• Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
• Experience with MLOps practices such as automated model deployment, model performance monitoring, datadrift detection, etc.
• Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
• Experience with datawarehouses (e.g., dimensional modeling), datalakes/Lakehouses, and other data architectures
• Experience orchestrating complex workflows and datapipelines using Airflow or similar tools
• Ability to load test deployed models at scale to identify performance bottlenecks
• Experience with Git, CI/CD pipelines, Docker, Kubernetes
• Experience with architecting solutions on AWS or equivalent public cloud platforms
• Experience with developing data APIs, Microservices and event driven systems to integrate ML systems
• Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production
• Experience in assessing and implementing new data tools to enhance the machine learning stack
• Strong interpersonal and verbal communication skills
• Technical leadership experience and the ability to mentor and guide others

Responsibilities

• Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products
• Take ownership of objectives and key results for your workstream, and own technical solutions in partnership with your manager
• Architect and build robust systems to train, deploy, run inference, and monitor Machine Learning and AI systems at scale
• Champion code quality, reusability, scalability, maintainability, and security, and provide input into strategic architecture decisions
• Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices
• Integrate Machine Learning and AI systems with production applications
• Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community

Skills

Python programming

ML system architecture

Technical leadership

SQL/PySpark/Pandas

MLOps

Cloud/AWS

Git CI/CD Docker Kubernetes

LLMs / Generative AI production

Education

BS/MS/PhD in CS/Math/Stats/DataScience/Engineering

Tools

Docker

Kubernetes

Airflow

Spark/PySpark

Snowflake/RDS/DynamoDB

DataDog/PagerDuty

Job description

AbbVie is seeking an experienced ML engineering leader to design and deliver scalable ML systems across product teams. You will architect training, deployment, monitoring, and governance for production models, collaborating with data scientists, data engineers, and software engineers.

This role emphasizes technical leadership, driving ML initiatives, optimizing performance, and ensuring security and reliability in production.