{"schemaVersion":"jobsearcher.job.v1","id":"c3f2bb0108a6459945d98e7a","url":"https://jobsearcher.com/jobs/c3f2bb0108a6459945d98e7a","canonicalUrl":"https://jobsearcher.com/jobs/c3f2bb0108a6459945d98e7a","title":"AI/ML Software Engineer","description":"AI/ML Software Engineer\nRole Overview\n\nWe 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.\n\nKey Responsibilities\n\nModel Integration & Development: Design, fine-tune, and evaluate machine learning models, integrating them seamlessly into production applications via robust APIs.\n\nData Pipeline Engineering: Build, optimize, and maintain efficient data pipelines for preprocessing, feature engineering, and continuous model training.\n\nProduction Deployment & MLOps: Containerize and deploy models using modern cloud infrastructure, ensuring low latency, high scalability, and uptime.\n\nMonitoring & Performance Tuning: Track deployed models for performance drift, resource consumption, accuracy gaps, and inference cost efficiency.\n\nCross-Functional Collaboration: Partner with product and engineering stakeholders to scope AI use cases, translate business requirements into technical specs, and define success metrics.\n\nQuality & Evaluation: Establish automated test suites and rigorous evaluation frameworks to measure model accuracy, robustness, and safety.\n\nMinimum Qualifications\n\nEducation: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.\n\nExperience: 2+ years of professional software engineering experience, including hands-on work building, shipping, and supporting machine learning models in production environments.\n\nProgramming Proficiency: Strong software engineering fundamentals with expert-level proficiency in Python (including standard scientific computing libraries like NumPy and Pandas).\n\nML Ecosystem: Working knowledge of major machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.\n\nSoftware Core Concepts: Solid foundation in data structures, algorithms, system design, RESTful APIs, and Git version control workflows.\n\nData Management: Practical experience with SQL and relational or non-relational database management.\n\nPreferred Qualifications\n\nAdvanced Degree: Master’s or Ph.D. degree specializing in Machine Learning, Natural Language Processing (NLP), or Computer Vision.\n\nCloud Platforms: Hands-on experience deploying and managing workloads on AWS, Microsoft Azure, or Google Cloud Platform (GCP).\n\nGenerative AI & LLMs: Experience working with Large Language Models, Retrieval-Augmented Generation (RAG) systems, vector databases, and modern AI application frameworks.\n\nInfrastructure & Automation: Proven familiarity with Docker, Kubernetes, CI/CD pipeline automation, and container orchestration.\n\nObservability: Exposure to model monitoring and evaluation tooling (e.g., MLflow, LangSmith, or Prometheus) to track production health and trace model outputs.","company":"Dfuse Technologies","rawCompany":"dfuse technologies","city":"Youngstown","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-10-08T13:45:29.374Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML Software Engineer","description":"AI/ML Software Engineer\nRole Overview\n\nWe 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.\n\nKey Responsibilities\n\nModel Integration & Development: Design, fine-tune, and evaluate machine learning models, integrating them seamlessly into production applications via robust APIs.\n\nData Pipeline Engineering: Build, optimize, and maintain efficient data pipelines for preprocessing, feature engineering, and continuous model training.\n\nProduction Deployment & MLOps: Containerize and deploy models using modern cloud infrastructure, ensuring low latency, high scalability, and uptime.\n\nMonitoring & Performance Tuning: Track deployed models for performance drift, resource consumption, accuracy gaps, and inference cost efficiency.\n\nCross-Functional Collaboration: Partner with product and engineering stakeholders to scope AI use cases, translate business requirements into technical specs, and define success metrics.\n\nQuality & Evaluation: Establish automated test suites and rigorous evaluation frameworks to measure model accuracy, robustness, and safety.\n\nMinimum Qualifications\n\nEducation: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.\n\nExperience: 2+ years of professional software engineering experience, including hands-on work building, shipping, and supporting machine learning models in production environments.\n\nProgramming Proficiency: Strong software engineering fundamentals with expert-level proficiency in Python (including standard scientific computing libraries like NumPy and Pandas).\n\nML Ecosystem: Working knowledge of major machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.\n\nSoftware Core Concepts: Solid foundation in data structures, algorithms, system design, RESTful APIs, and Git version control workflows.\n\nData Management: Practical experience with SQL and relational or non-relational database management.\n\nPreferred Qualifications\n\nAdvanced Degree: Master’s or Ph.D. degree specializing in Machine Learning, Natural Language Processing (NLP), or Computer Vision.\n\nCloud Platforms: Hands-on experience deploying and managing workloads on AWS, Microsoft Azure, or Google Cloud Platform (GCP).\n\nGenerative AI & LLMs: Experience working with Large Language Models, Retrieval-Augmented Generation (RAG) systems, vector databases, and modern AI application frameworks.\n\nInfrastructure & Automation: Proven familiarity with Docker, Kubernetes, CI/CD pipeline automation, and container orchestration.\n\nObservability: Exposure to model monitoring and evaluation tooling (e.g., MLflow, LangSmith, or Prometheus) to track production health and trace model outputs.","datePosted":"2026-10-08T13:45:29.374Z","dateModified":"2026-10-08T13:45:29.374Z","hiringOrganization":{"@type":"Organization","name":"Dfuse Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Youngstown","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c3f2bb0108a6459945d98e7a"},"url":"https://jobsearcher.com/jobs/c3f2bb0108a6459945d98e7a"}}