Senior ML & GenAI Platform Architect

BioSpace; Jacksonville (FL); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Retirement and Savings Plan

Medical coverage

Dental coverage

Vision coverage

Life insurance

Disability insurance

Flexible spending accounts

Discretionary annual bonus program

Stock-based long-term incentives

Time-off plans

Job summary

BioSpace seeks a senior professional to lead the design, development, and deployment of machine learning and Generative AI solutions using Databricks and Spark. You will architect scalable data pipelines and set MLOps/LLMOps best practices for reliable production deployment.

The role requires deep ML/GenAI expertise within cloud ecosystems and a strong track record of delivering scalable systems. This is a hands-on leadership position focused on end-to-end delivery and production readiness.

Qualifications

• Requires Doctorate or equivalent level of education with 2 years of related experience or High School diploma with 12 years of related experience.
• Deep expertise in machine learning, generative AI, and scalable system architecture in cloud environments.

Responsibilities

• Lead end-to-end design, development, and delivery of ML and Generative AI solutions.
• Architect scalable data pipelines and establish MLOps/LLMOps best practices for production deployment.

Skills

Machine Learning

Generative AI

Databricks

Apache Spark

Python

SQL

MLOps

LLMOps

Data Engineering

Cloud Architecture

AWS

Azure

GCP

Deep Learning

RAG

CI/CD

Education

Doctorate

High School diploma

Tools

Databricks

Apache Spark

Python

SQL

AWS

Azure

GCP

CI/CD

Job description

BioSpace seeks a senior professional to lead the design, development, and deployment of machine learning and Generative AI solutions using Databricks and Spark. You will architect scalable data pipelines and set MLOps/LLMOps best practices for reliable production deployment.

The role requires deep ML/GenAI expertise within cloud ecosystems and a strong track record of delivering scalable systems. This is a hands-on leadership position focused on end-to-end delivery and production readiness.