Position Details

Type Not Specified

Experience lead

Exp. Years 8+ years in Data Science/ML Engineering; 3+ years in a Lead capacity

Education Bachelor's degree in computer science, Engineering

Category AI & Machine Learning

About this role

This role involves leading the design and implementation of complex AI/ML systems on AWS, focusing on scalable architecture, MLOps, and GenAI integration within a financial data environment.

Key Responsibilities

Designing ML ecosystems
Leading cloud infrastructure on AWS
Implementing CI/CD pipelines
Mentoring engineering teams
Communicating technical progress

Technical Overview

The technical environment includes AWS cloud services, ML frameworks like PyTorch and TensorFlow, containerization with Docker, infrastructure management with Terraform, and data tools like Snowflake and Trino.

Ideal Candidate

The ideal candidate is a senior data scientist with extensive experience in cloud-based ML architecture, particularly on AWS. They possess strong leadership skills, a deep understanding of AI/ML ecosystems, and hands-on expertise with MLOps, containerization, and GenAI technologies.

Must-Have Skills

8+ years in Data Science/ML Engineering3+ years in a Lead capacityExperience with AWS stackExpertise in PythonML architecture and strategyContainerization with DockerCI/CD pipelinesTerraformSnowflakeML lifecycle management

Nice-to-Have Skills

GenAIRAGAgentic workflowsHigh-throughput data pipelinesVector Databases

Tools & Platforms

AWSSnowflakeTrinoIcebergDockerTerraformMLflowDVCGitHub

Required Skills

AWSAmazon Web ServicesSageMakerLambdaECSFargateBatchStep FunctionsAPI GatewayS3DynamoDBBedrockOpenSearchPyTorchTensorFlowMLflowDVCTerraformDockerSnowflakeTrinoIcebergElasticSearchOpenSearchPythonFastAPIML architectureML lifecycleMLOpsContainerizationCI/CDGenAIRAGAgentic AI

Hard Skills

Soft Skills

leadershipmentorshipcommunicationcollaborationproblem-solvingstrategic thinking

Industry & Role

Industry Finance & Data Analytics

Job Function Lead enterprise AI/ML architecture and deployment on cloud platforms

Keywords for Your Resume

Lead Data ScientistAWSAmazon Web ServicesSageMakerLambdaECSFargateBatchStep FunctionsAPI GatewayS3DynamoDBBedrockOpenSearchPyTorchTensorFlowMLflowDVCTerraformDockerSnowflakeTrinoIcebergElasticSearchPythonFastAPIML architectureML lifecycleMLOpsContainerizationCI/CDGenAIRAGAgentic AI

Deal Breakers

Lack of AWS experience, Less than 8 years in Data Science/ML Engineering, No leadership experience, No cloud architecture background, Inability to work in hybrid environment

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