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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** MENTE SYSTEMS INC - **Location:** Nashville, TN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, Confluence, JIRA, Big Data, Computer Programming, Data Validation, Software Debugging, Distributed Computing Environment, Genetic Algorithm, Python (Programming Language), Machine Learning, Tensorflow, Software Construction, Reinforcement Learning, Feature Engineering, Pytorch, Deep Learning, Model Validation, Generative AI, Git, Information Technology, Machine Learning Operations, GPT, Data Pipelines - **Published:** June 25, 2026 - **Apply:** https://www.juju.com/job/00000000gawu4p ## About the Role Capabilities that will enable your success + Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field + 7+ years of professional experience, including significant hands-on machine learning development + Strong understanding of machine learning theory and fundamentals + Model selection and evaluation + Bias/variance tradeoffs + Optimization and loss functions + Demonstrated experience training and evaluating models using frameworks such as PyTorch or TensorFlow + Experience building and maintaining end-to-end ML pipelines + Strong programming skills in Python (additional languages are a plus) + Experience working with real-world, imperfect datasets + Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders + Strong grasp of software engineering best practices and system design Preferred Qualifications + Experience with deep learning architectures (CNNs, RNNs, Transformers) + Experience applying ML to optimization, planning, or decision-making problems + Familiarity with distributed training or large-scale data processing + Experience with experiment tracking tools (e.g., MLflow, Weights & Biases) + Experience deploying ML models into production (batch or real-time inference) Background in research-driven or R&D-focused engineering environments Clearance Requirements Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Secret or Top-Secret level. Existing clearance is preferred. ## Description We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We encourage you to apply and take the first step in joining our dynamic and impactful company. Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem definition. What will you do? + Research, evaluate, and select appropriate machine learning approaches and architectures based on the problem definition + Supervised, unsupervised, and reinforcement learning + Neural networks, decision trees, ensemble methods + Transformer-based models, adversarial networks, genetic algorithms + Retrieval-Augmented Generation (RAG) where appropriate + Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent + Formulate and solve optimization problems using ML techniques + Pathfinding and routing + Combinatorial and constraint-based optimization Heuristic and learning-based optimization approaches + Own data pipelines for ML systems + Data validation and quality checks + Feature engineering and preprocessing + Data augmentation strategies for training robustness + Train, tune, and debug models, addressing issues such as overfitting, instability, bias, and performance degradation + Define and apply appropriate evaluation metrics, analyze results and iteratively improve model performance + For transformer-based systems + Optimize context window usage Manage token budgets, chunking strategies, and retrieval mechanisms + Balance performance, accuracy, and computational cost + Integrate ML models and data pipelines into production systems + Make technical decisions and provide architectural guidance for ML systems + Document experiments, results, and design decisions using tools such as Git, Jira, and Confluence + Mentor junior engineers and guide best practices in ML development Stay current with emerging ML research, tools, and techniques ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)