Mid-Level AI / Machine Learning Software Engineer

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
• Experience with deep learning and reinforcement learning libraries
• Experience building or consuming real-time data pipelines
• Experience with data visualization and exploratory analysis (Matplotlib, Seaborn, Plotly, etc.)
• Experience with model deployment and inference optimization
• Experience working in containerized or distributed environments