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Mid-Level AI / Machine Learning Software Engineer

Huntsville, AL, US • Posted 30+ days ago • Updated 5 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Data Analysis
Data Processing
Analytics
Pattern Recognition
Artificial Intelligence
Collaboration
Debugging
Software Development
Python
Streaming
PyTorch
TensorFlow
Keras
Decision Trees
Training
Machine Learning (ML)
Data Structure
Algorithms
Performance Tuning
Version Control
Git
Workflow
Microsoft Certified Professional
GPU
CUDA
Deep Learning
Real-time
Data Visualization
matplotlib
Plotly
Optimization
Computer Science
Data Science
Mathematics
Linux
Jupyter
Docker
Command-line Interface

Summary

We are seeking a Mid-Level AI / Machine Learning Software Engineer to support development of scalable data analysis and machine learning capabilities across large datasets and real-time data streams. The role focuses on designing, implementing, and optimizing machine learning models and data pipelines using Python and modern deep learning frameworks.

The ideal candidate has strong programming fundamentals, hands-on model development experience, and is comfortable working with large structured and unstructured datasets in production environments.

Primary Responsibilities

Design, develop, and maintain Python-based data processing and analytics solutions
Implement and optimize machine learning and deep learning models
Work with large datasets and streaming data sources
Develop reusable data structures and efficient algorithms for analysis workflows
Build and evaluate models for classification, prediction, and pattern recognition
Integrate AI/ML capabilities into software systems and pipelines
Collaborate with software engineers, data engineers, and analysts to deploy solutions
Perform model validation, performance tuning, and debugging
Document architecture, implementation, and usage of developed tools

Required Qualifications

3+ years of professional software development experience
Strong Python development skills
Experience working with large datasets and/or streaming data
Proficiency in machine learning and deep learning frameworks:
PyTorch
TensorFlow
Keras
Hugging Face Transformers
Understanding of machine learning concepts and model architectures, including:
Decision Trees / Random Forests
LSTM / sequence models
Experience implementing, training, and evaluating ML models
Knowledge of data structures, algorithms, and performance optimization
Familiarity with version control (Git) and collaborative development workflows

Desired / Preferred Qualifications

Experience with Retrieval-Augmented Generation (RAG)
Experience with Model Context Protocols (MCP) or similar agent/tool interaction frameworks
Experience with GPU acceleration and CUDA architecture
Drivers, runtime, and APIs
Experience with deep learning and reinforcement learning libraries
Experience building or consuming real-time data pipelines
Data visualization and exploratory analysis (Matplotlib, Seaborn, Plotly, etc.)
Familiarity with model deployment and inference optimization
Experience working in containerized or distributed environments

Education

Bachelor's degree (or working toward a degree) in Computer Science, Data Science, Engineering, Mathematics, or related field
(Equivalent practical experience considered)

Nice-to-Know Technologies

Linux development environments
Jupyter notebooks
Docker or container basics
Basic command line usage

#LI-AS1

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: RTL041421
Position Id: 82e1535544f5b431e20e555c3a1de712
Posted 30+ days ago

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