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MLOps
MLflow
Lakehouse
Databricks
AI

Summary

Role: ML Architect / AI Architect

Location: Malvern, PA (Hybrid – 3 days / week from office)

Job Description:
We are looking for a Machine Learning Architect with strong hands-on experience in Databricks to design, build, deploy, and optimize machine learning solutions. The ideal candidate should have practical experience developing ML models using the Databricks Lakehouse Platform, leveraging MLflow, feature engineering, model training, and MLOps to deliver scalable AI/ML solutions.

Required Skills

5+ years of experience in Machine Learning or AI development.
Strong hands-on experience with Databricks Machine Learning.
Experience using MLflow for experiment tracking, model registry, and deployment.
Strong proficiency in Python.
Experience with PySpark and Apache Spark.
Knowledge of supervised and unsupervised machine learning algorithms.
Experience building and deploying end-to-end ML pipelines.
Hands-on experience with feature engineering, model evaluation, and hyperparameter tuning.
Experience working in cloud environments AWS.
Build and maintain production grade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker).
Develop and automate end to end data and ML pipelines using Spark/PySpark, Glue, Airflow, or dbt.
Strong SQL skills and experience working with large-scale datasets.

Preferred Skills

Experience with Databricks Lakehouse architecture.
Knowledge of Generative AI, LLMs, or Retrieval-Augmented Generation (RAG) is a plus.
Experience with orchestration tools such as Airflow or Azure Data Factory.
Familiarity with Docker, Kubernetes, and CI/CD pipelines.
Experience with Delta Lake and Unity Catalog.

Qualifications

Bachelor''''''''s or Master''''''''s degree in Computer Science, Data Science, Engineering, or a related field.
Databricks certification (preferred).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: DeepMLo
Posted 2 hours ago

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