Machine Learning Engineer

Responsibilities

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

Qualifications :

Required Experience & Skills

• Completed BS MS or PhD in Computer Science Mathematics Statistics Data ScienceEngineering 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 scienceprinciples
• Experience with data manipulation frameworks such as Pandas and PySpark
• Experience with machine learning libraries such as scikit-learn HuggingFaceTensorFlow/Keras PyTorch or MLlib
• Experience with MLOps practices such as automated model deployment model performancemonitoring data drift detection
• Working knowledge of SQL and relational data structures
• Ability to design train and evaluate machine learning models using standard best practicessuch as model selection validation bias/variance tradeoffs and performance assessment
• 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

Preferred Experience & Skills

• Knowledge in domains such as recommender systems fraud detection personalization and marketing science
• Experience with managing and architecting solutions on AWS
• Familiarity with Large Language Models (LLMs) other generative AI modalities and how they are applied in production
• Familiarity with Snowflake RDS DynamoDB Kafka Fivetran dbt Airflow Docker Kubernetes
• EMR Sagemaker DataDog PagerDuty Data Cataloging tools Data Observability tools and Data Governance tools

Additional Information :

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location and we may ultimately pay more or less than the posted range. This range may be modified in the future. 

• We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

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Yes

Employment Type :

Full-time