Machine Learning Engineer - Personalization & LLMs (Hybrid)

Optimove; Dundee (MI); Híbrido; USD 93.000 - 145.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Lunch budget onsite

Office kitchen

Wellbeing programs

Descripción de la vacante

Optimove in Dundee is hiring a Machine Learning Engineer for the Personalize team to build and deploy medium-sized ML features end-to-end, from problem framing to production. You will work with text data, LLMs, and a cross-functional group spanning ML, MLOps and software engineering.

You’ll own projects from data prep to deployment, collaborate with product and engineering, and contribute to real-time data processing, AI tooling, and experimentation in a fast-growing, hybrid-work environment.

Formación

• Bachelor's degree in CS, DS, Statistics or related field, or equivalent experience.
• Solid understanding of supervised/unsupervised learning and model evaluation.
• Experience with text data and NLP techniques.

Responsabilidades

• Own the delivery of ML features end-to-end within Personalize.
• Develop models for classification, ranking and personalization.
• Leverage LLMs to enhance product capabilities.
• Operationalise models as real-time APIs.
• Monitor production models and address data quality issues.

Conocimientos

Python

SQL

ML concepts

NLP

Cloud computing

Communication

Educación

Bachelor's degree in CS/DS/Stats

Herramientas

Docker

PyTorch

TensorFlow

Snowflake

Descripción del empleo

Optimove in Dundee is hiring a Machine Learning Engineer for the Personalize team to build and deploy medium-sized ML features end-to-end, from problem framing to production. You will work with text data, LLMs, and a cross-functional group spanning ML, MLOps and software engineering.

You’ll own projects from data prep to deployment, collaborate with product and engineering, and contribute to real-time data processing, AI tooling, and experimentation in a fast-growing, hybrid-work environment.