Position Details

Salary $161K – $184K USD / year

Type Full-Time

Experience mid

Exp. Years 2+ years

Education Bachelor's Degree

Category AI & Machine Learning

About this role

This role involves designing, developing, and deploying machine learning models at scale within a financial services environment. The engineer will work with big data tools, cloud platforms, and ML frameworks to deliver high-performance AI solutions.

Key Responsibilities

Design and build ML models
Collaborate with data science teams
Implement scalable data pipelines
Monitor and retrain models
Leverage cloud platforms

Technical Overview

The technical environment includes Python, Scala, Java, PyTorch, TensorFlow, Spark, Dask, and cloud architectures. The focus is on building scalable ML models, data pipelines, and monitoring systems for production use.

Ideal Candidate

The ideal candidate is a mid-level AI & Machine Learning engineer with 2+ years experience in developing and deploying ML models using frameworks like PyTorch, TensorFlow, and scikit-learn. They should have strong programming skills in Python, Scala, or Java, and experience working with cloud architectures and big data tools.

Must-Have Skills

PythonScalaJavaML frameworksdistributed computingmodel deploymentcloud architecturesdata pipelines

Nice-to-Have Skills

PyTorchscikit-learnDaskSparkTensorFlowmodel monitoringhyperparameter tuning

Tools & Platforms

PyTorchscikit-learnDaskSparkTensorFlowcloud platforms

Required Skills

PythonScalaJavaPyTorchscikit-learnDaskSparkTensorFlowdistributed computingmodel deploymentcloud architecturesdata pipelinesmodel monitoringhyperparameter tuningAgileproductionizing modelsAI engineeringbig data

Hard Skills

PythonScalaJavaPyTorchscikit-learnDaskSparkTensorFlowdistributed computingmodel deploymentML frameworkscloud architecturesdata pipelinesmodel monitoringmodel retraining

Soft Skills

collaborationproblem-solvingcommunicationteamworkadaptability

Industry & Role

Industry Finance

Job Function Developing and deploying scalable machine learning applications in a financial environment

Role Subtype AI & Machine Learning

Tech Domains Python, Scala, Java, PyTorch, scikit-learn, Dask, Spark, TensorFlow, cloud architectures, distributed computing

Keywords for Your Resume

machine learning engineerML modelsPythonScalaJavaPyTorchscikit-learnDaskSparkTensorFlowdistributed computingmodel deploymentcloud architecturesdata pipelinesmodel monitoringhyperparameter tuningAgileproductionizing modelsAI engineeringbig datamachine learning

Deal Breakers

Lack of experience with ML frameworks, No programming experience in Python, Scala, or Java, No experience with cloud architectures, No experience deploying models in production

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile

Senior Machine Learning Engineer

Get matched to jobs like this