Senior ML Engineer — NLP, Pipelines & Scalable AI

Apt; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A cutting-edge technology company is seeking a Machine Learning Engineer to maintain and enhance existing ML models and design scalable AI solutions. The ideal candidate will have over 5 years of experience in data science or AI engineering, proficiency in Python and ML libraries, and familiarity with tools like Databricks and Azure ML. Join a dynamic team focused on real-world applications of AI with opportunities for professional growth and innovation.

Qualifications

• 5+ years of experience in data science, machine learning, or AI engineering roles.
• Proven experience with supervised and unsupervised learning, NLP, and deep learning.
• Strong understanding of data structures, algorithms, and statistical modeling.

Responsibilities

• Maintain and improve existing ML models developed in Databricks notebooks.
• Design and deploy scalable AI/ML solutions, including NLP-based chatbots and predictive systems.
• Build and manage end-to-end ML pipelines, from data ingestion to model monitoring.

Skills

Python

Machine Learning

Deep Learning

Natural Language Processing

Data Science

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or related field

Tools

Databricks

Azure ML Flow

Docker

Kubernetes

TensorFlow

PyTorch

Job description

A cutting-edge technology company is seeking a Machine Learning Engineer to maintain and enhance existing ML models and design scalable AI solutions. The ideal candidate will have over 5 years of experience in data science or AI engineering, proficiency in Python and ML libraries, and familiarity with tools like Databricks and Azure ML. Join a dynamic team focused on real-world applications of AI with opportunities for professional growth and innovation.