Delta Lakehouse Engineer Jobs

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Today

Machine Learning Engineer

IDEXX Portland, ME

Portland, ME

Today

$115k+/yr Full time Artificial Intelligence AWS Aws Sagemaker

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Job Description

Machine Learning Engineer to support production AI by building the infrastructure and pipelines that deploy, serve, and monitor ML models for Clinical and Generative AI solutions.

Responsibilities

Build and maintain scalable infrastructure and pipelines for model deployment and production inference (not model development)
Collaborate with Data Scientists and Product Teams to turn model outputs into production-ready services
Support scalability, performance, and reliability of inference workflows
Design and implement data pipelines that enable ML workflows
Participate in code reviews to maintain quality and engineering best practices
Apply established software design patterns and contribute to architectural discussions
Find and implement practical improvements to ML enablement processes
Contribute to an AI Development Platform that supports enterprise adoption of AI capabilities
Work with Data Engineering and DevOps to build processing workflows and pipelines
Partner with product and engineering teams to identify reusable datasets, components, and infrastructure
Balance cost, time, and technical capability when delivering solutions
Collaborate with senior team members, learn continuously, and share knowledge with peers
Contribute to assigned workstreams to help ensure successful, timely completion
Work independently on well-defined problems; escalate ambiguous or high-impact decisions as needed

Requirements

3-5 years of experience in machine learning engineering or a related role
Strong programming skills in Python; additional languages are a plus
Experience building scalable data processing and ML-enabling applications
Basic knowledge of Spark for data processing
Understanding of sound engineering practices, including testing and CI/CD
Working knowledge of AI/ML concepts with some hands-on experience supporting models in production environments
Familiarity with ML stacks including Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools such as Docker
Basic knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, and Agile methodologies
Good analytical and problem-solving skills; able to adapt to evolving technologies
Good communication skills for collaboration with data scientists, engineers, and stakeholders

Location & Work Model

Portland, ME (hybrid)
In-office requirement: 2 days per week

Compensation

USD 115,000 per year (base salary range starting at this level based on experience)
Opportunity for an annual cash bonus

Benefits

Health / Dental / Vision benefits Day-One
401(k) match: 5%
Additional benefits including (but not limited to) financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more

Technologies

Python
Spark
Databricks
Delta Tables
AWS: EC2, S3, SageMaker
Docker
SQL
NoSQL
Big Data
CI/CD
Agile methodologies

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