AI/ML Engineer

Diverse Lynx, LLC; Atlanta (GA); On-site; USD 83,000 - 90,000; Full time

Job summary

Diverse Lynx LLC is seeking a Senior Databricks AI/ML Engineer in Atlanta, GA for a 6-month engagement. The role focuses on designing, developing, and deploying scalable AI/ML solutions on the Databricks Lakehouse Platform.

The ideal candidate has 10+ years of experience and deep expertise in PySpark, Python, ML frameworks, MLOps, and Generative AI, with hands-on experience across cloud Databricks and modern data pipelines.

Qualifications

• 10+ years of AI/ML engineering experience.
• Strong Databricks Lakehouse Platform expertise.
• Proficiency with PySpark, Python, and SQL.
• Hands-on with Delta Lake and Unity Catalog.
• Experience with ML models (Scikit-Learn, TensorFlow, PyTorch, XGBoost).
• Knowledge of MLflow, MLOps, CI/CD.
• Experience with Generative AI, LLMs, RAG, Vector Databases.
• Cloud Databricks (Azure/AWS) experience or eligibility.
• Experience with data pipelines and REST APIs.

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions on the Databricks Lakehouse Platform.
• Build production-grade ML and GenAI applications.

Skills

Databricks Lakehouse

PySpark

Python

SQL

Delta Lake

Unity Catalog

MLflow

MLOps

CI/CD

Generative AI

LLMs

RAG

Vector Databases

Azure Databricks

AWS Databricks

Data Pipelines

REST APIs

Tools

Apache Spark

Job description

Job Title: Senior Databricks AI/ML Engineer

Location: Atlanta, GA

Duration: 6 Months

Experience: 10+

Rate: $60 to $65/hr

Job Summary

We are seeking a Senior Databricks AI/ML Engineer with strong experience in Databricks, PySpark, Python, Machine Learning, MLOps, and Generative AI . The candidate will design, develop, and deploy scalable AI/ML solutions on the Databricks Lakehouse Platform and build production-grade ML and GenAI applications.

Required Skills:

• Strong experience with Databricks Lakehouse Platform
• Expertise in PySpark, Python, SQL
• Hands-on experience with Delta Lake, Unity Catalog
• Experience building ML models using Scikit-Learn, TensorFlow, PyTorch, XGBoost
• Strong knowledge of MLflow, MLOps, CI/CD
• Experience with Generative AI, LLMs, RAG, Vector Databases
• Knowledge of Azure Databricks, AWS Databricks, or Eligible to workP Databricks
• Experience with Apache Spark, Data Engineering, Data Pipelines
• Familiarity with REST APIs and microservices deployment

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