A technology firm is seeking an experienced AI/ML Architect to lead the design and implementation of machine learning platforms using Databricks and AWS. The ideal candidate will possess strong expertise in building scalable data pipelines and optimizing analytics solutions. This role requires 10+ years in data engineering or similar fields, with proficiency in Python, Databricks, and MLOps practices. Flexible work-from-home options are available.
Qualifications
10+ years of experience in data engineering or AI/ML architecture roles.
Deep expertise in Databricks on AWS.
Demonstrated experience with multi-terabyte data processing.
Responsibilities
Develop, train, and optimize ML models using Python and Databricks.
Architect scalable ETL/ELT pipelines for large datasets.
Collaborate with product and business leaders to drive initiatives.
Skills
Designing Databricks‑based lakehouse architectures on AWS
Strong programming ability in Python
Architecting end-to-end data solutions on AWS
Experience with large-scale data processing
Strong analytical and problem-solving skills
Education
Bachelor’s or Master’s in Computer Science, Data Science, or related field
Tools
Databricks
AWS
PySpark
MLflow
Job description
A technology firm is seeking an experienced AI/ML Architect to lead the design and implementation of machine learning platforms using Databricks and AWS. The ideal candidate will possess strong expertise in building scalable data pipelines and optimizing analytics solutions. This role requires 10+ years in data engineering or similar fields, with proficiency in Python, Databricks, and MLOps practices. Flexible work-from-home options are available.