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# AI/ML Software Engineer

- **Company:** A.I. Driven, Inc.
- **Location:** Sterling, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Frameworks, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Data Structures, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Performance Tuning, Tensorflow, Prometheus, Scientific Computating, Software Deployment, Software Engineering, SQL Databases, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Generative AI, Git, Pandas, Containerization, LangSmith, Scikit Learn, Kubernetes, Information Technology, Low Latency, Non-relational Database, Data Management, Machine Learning Operations, Restful APIs, Data Pipelines, Docker
- **Published:** October 7, 2026
- **Apply:** https://www.dfusetech.com/careers/ai-ml-software-engineer/

## About the Role

* Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
 * Experience: 2+ years of professional software engineering experience, including hands-on work building, shipping, and supporting machine learning models in production environments.
 * Programming Proficiency: Strong software engineering fundamentals with expert-level proficiency in Python (including standard scientific computing libraries like NumPy and Pandas).
 * ML Ecosystem: Working knowledge of major machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
 * Software Core Concepts: Solid foundation in data structures, algorithms, system design, RESTful APIs, and Git version control workflows.
 * Data Management: Practical experience with SQL and relational or non-relational database management., * Advanced Degree: Master's or Ph.D. degree specializing in Machine Learning, Natural Language Processing (NLP), or Computer Vision.
 * Cloud Platforms: Hands-on experience deploying and managing workloads on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
 * Generative AI & LLMs: Experience working with Large Language Models, Retrieval-Augmented Generation (RAG) systems, vector databases, and modern AI application frameworks.
 * Infrastructure & Automation: Proven familiarity with Docker, Kubernetes, CI/CD pipeline automation, and container orchestration.
 * Observability: Exposure to model monitoring and evaluation tooling (e.g., MLflow, LangSmith, or Prometheus) to track production health and trace model outputs.

## Description

We are seeking a talented and driven AI/ML Software Engineer to bridge the gap between advanced machine learning research and high-performance software production systems. In this role, you will design, build, test, and deploy scalable AI-driven features and robust machine learning architectures, working closely with product managers, data scientists, and backend engineering teams., * Model Integration & Development: Design, fine-tune, and evaluate machine learning models, integrating them seamlessly into production applications via robust APIs.

 * Data Pipeline Engineering: Build, optimize, and maintain efficient data pipelines for preprocessing, feature engineering, and continuous model training.
 * Production Deployment & MLOps: Containerize and deploy models using modern cloud infrastructure, ensuring low latency, high scalability, and uptime.
 * Monitoring & Performance Tuning: Track deployed models for performance drift, resource consumption, accuracy gaps, and inference cost efficiency.
 * Cross-Functional Collaboration: Partner with product and engineering stakeholders to scope AI use cases, translate business requirements into technical specs, and define success metrics.
 * Quality & Evaluation: Establish automated test suites and rigorous evaluation frameworks to measure model accuracy, robustness, and safety.