Mid-Level AI / Machine Learning Software EngineerModern Technology Solutions Inc • United States
Mid-Level AI / Machine Learning Software Engineer
Modern Technology Solutions Inc
- United States
- United States
About
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
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Languages
- English
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