Position Details

Type Not Specified

Experience mid

Exp. Years 5+ years

Education Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research)

Category AI & Machine Learning

About this role

This role involves architecting and managing AI tooling and infrastructure to support enterprise AI and ML initiatives, focusing on deployment, automation, and system integration.

Key Responsibilities

Build AI tooling infrastructure
Support ML deployment
Develop internal automation tools
Manage cloud costs
Partner with teams

Technical Overview

Supports building AI tooling stacks, deploying ML models, managing cloud-based AI environments, and developing internal applications for automation and workflow enhancement.

Ideal Candidate

The ideal candidate is a senior solutions architect with over 5 years of experience in machine learning and natural language processing, skilled in deploying LLMs and supporting AI tooling in cloud environments, with strong communication and mentorship abilities.

Must-Have Skills

5+ years of industry ML experienceExperience with natural language processing including vector databases and fine-tuning LLMsExperience deploying LLMs with tools such as HuggingFaceLangchainOpenAIGraduate degree in a quantitative disciplineCustomer-facing experience in pre-sales or post-sales

Nice-to-Have Skills

Experience working with Apache SparkExperience with cloud infrastructure supporting ML applications

Tools & Platforms

HuggingFaceLangchainOpenAIAWSAzureGCP

Required Skills

MLMLOpsNatural Language ProcessingNLPVector DatabasesLLMsHuggingFaceLangchainOpenAICloud InfrastructureCustomer-facing

Hard Skills

Machine LearningMLMLOpsNatural Language ProcessingNLPVector DatabasesLLMsHuggingFaceLangchainOpenAIAWSAzureGCPData ScienceModel DeploymentModel MonitoringFeature EngineeringTrainingInference

Soft Skills

CollaborationCommunicationMentorshipProblem-solvingTeamwork

Industry & Role

Industry Financial Services

Job Function AI tooling and infrastructure management for enterprise AI projects

Keywords for Your Resume

Specialist Solutions ArchitectDatabricksMLMLOpsNatural Language ProcessingNLPVector DatabasesLLMsHuggingFaceLangchainOpenAIAWSAzureGCPCustomer-facingPre-salesPost-salesML workloadsAI toolingData Science

Deal Breakers

Less than 5 years of ML experience, No experience with NLP or LLM deployment, Lack of customer-facing pre-sales/post-sales experience

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Specialist Solutions Architect - Data Scientist / ML Engineer (Financial Services)

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