Position Details

Salary $161K – $184K USD / year

Type Full-Time

Experience mid

Exp. Years 3+ years

Education Bachelor's Degree

Category AI & Machine Learning

About this role

This role involves developing, deploying, and maintaining machine learning models at scale within a financial services environment. The engineer will work on data pipelines, model training, and cloud-based ML infrastructure.

Key Responsibilities

Design and build ML models
Develop data pipelines
Deploy and monitor models
Collaborate with cross-functional teams
Leverage cloud architectures

Technical Overview

The technical environment includes Python, Scala, Java, ML frameworks like scikit-learn, PyTorch, TensorFlow, distributed computing with Spark and Dask, and cloud platforms such as AWS, Azure, and Google Cloud.

Ideal Candidate

The ideal candidate is a mid-level machine learning engineer with 3+ years of experience designing and deploying ML models using frameworks like scikit-learn, PyTorch, or TensorFlow. They possess strong programming skills in Python, Scala, or Java and have experience working with distributed computing and cloud platforms.

Must-Have Skills

PythonScalaJavaML frameworksDistributed ComputingModel DeploymentModel MonitoringData PipelinesCloud Platforms

Nice-to-Have Skills

PyTorchTensorFlowDaskSparkHyperparameter TuningModel ValidationResponsible AIExplainable AI

Tools & Platforms

PythonScalaJavascikit-learnPyTorchTensorFlowDaskSparkAWSAmazon Web ServicesAzureGoogle Cloud Platform

Required Skills

PythonScalaJavaMachine LearningML frameworksscikit-learnPyTorchTensorFlowDaskSparkDistributed ComputingModel DeploymentModel MonitoringData PipelinesContinuous IntegrationContinuous DeploymentCloud PlatformsAWSAmazon Web ServicesAzureGoogle Cloud Platform

Hard Skills

PythonScalaJavaMachine LearningML frameworksscikit-learnPyTorchDaskSparkTensorFlowDistributed ComputingModel DeploymentModel MonitoringData PipelinesContinuous IntegrationContinuous DeploymentCloud PlatformsAWSAmazon Web ServicesAzureGoogle Cloud PlatformTensorFlowPyTorchSparkscikit-learn

Soft Skills

collaborationproblem-solvingcommunicationteamworkadaptabilitylearning mindset

Industry & Role

Industry Financial Services / Banking

Job Function Developing and deploying scalable machine learning solutions in a cloud environment

Role Subtype ML Engineer

Tech Domains Python, Scala, Java, Machine Learning, ML frameworks, Spark, TensorFlow, PyTorch, Dask, Cloud Platforms

Keywords for Your Resume

Senior Machine Learning EngineerMachine LearningML frameworksscikit-learnPyTorchTensorFlowDaskSparkPythonScalaJavaDistributed ComputingModel DeploymentModel MonitoringData PipelinesContinuous IntegrationContinuous DeploymentCloud PlatformsAWSAmazon Web ServicesAzureGoogle Cloud PlatformResponsible AIExplainable AI

Deal Breakers

Lack of experience with ML frameworks, No experience with distributed computing, Bachelor's degree not in relevant field, No cloud experience

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