{"schemaVersion":"jobsearcher.job.v1","id":"02becb3840e6cf689909ca48","url":"https://jobsearcher.com/jobs/02becb3840e6cf689909ca48","canonicalUrl":"https://jobsearcher.com/jobs/02becb3840e6cf689909ca48","title":"Machine Learning Development Engineer","description":"Machine Learning Development EngineerLocation: Seattle, WA – OnsiteWe are seeking a highly motivated Machine Learning Development Engineer to design, develop, deploy, and optimize machine learning solutions that address complex business problems. The ideal candidate will have strong expertise in machine learning, data engineering, software development, MLOps, and cloud technologies, with a focus on delivering scalable and production-ready AI solutions.Key ResponsibilitiesDesign, develop, train, and deploy machine learning models for predictive analytics, classification, recommendation systems, and Generative AI use cases.Build and maintain scalable ML pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment.Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into ML solutions.Develop and optimize data processing workflows using Python, Spark, and distributed computing frameworks.Implement MLOps practices, including CI/CD, model versioning, monitoring, and automated retraining.Deploy and manage ML workloads on Azure, AWS, or GCP.Monitor model performance, identify model drift, and continuously improve accuracy and reliability.Ensure security, governance, and compliance throughout the ML lifecycle.Document technical designs, architecture decisions, and operational procedures.Required QualificationsBachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.3+ years of experience developing and deploying machine learning solutions.Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost.Experience with data engineering technologies including Spark, Databricks, Airflow, and SQL.Understanding of supervised and unsupervised learning, model evaluation, feature engineering, and hyperparameter tuning.Experience with REST APIs, microservices, and software engineering best practices.Familiarity with Git, CI/CD, Docker, and Kubernetes.Strong problem-solving, analytical, and communication skills.Preferred QualificationsExperience with Generative AI, LLMs, RAG, and AI agents.Hands-on experience with Azure Machine Learning, Azure Databricks, Azure OpenAI, or equivalent cloud services.Knowledge of MLOps platforms such as MLflow, Kubeflow, or SageMaker.Experience with vector databases, embeddings, and semantic search.Experience with LLM fine-tuning.Relevant cloud or AI certifications.","company":"Apolis","rawCompany":"apolis","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-19T13:12:57.686Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Development Engineer","description":"Machine Learning Development EngineerLocation: Seattle, WA – OnsiteWe are seeking a highly motivated Machine Learning Development Engineer to design, develop, deploy, and optimize machine learning solutions that address complex business problems. The ideal candidate will have strong expertise in machine learning, data engineering, software development, MLOps, and cloud technologies, with a focus on delivering scalable and production-ready AI solutions.Key ResponsibilitiesDesign, develop, train, and deploy machine learning models for predictive analytics, classification, recommendation systems, and Generative AI use cases.Build and maintain scalable ML pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment.Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into ML solutions.Develop and optimize data processing workflows using Python, Spark, and distributed computing frameworks.Implement MLOps practices, including CI/CD, model versioning, monitoring, and automated retraining.Deploy and manage ML workloads on Azure, AWS, or GCP.Monitor model performance, identify model drift, and continuously improve accuracy and reliability.Ensure security, governance, and compliance throughout the ML lifecycle.Document technical designs, architecture decisions, and operational procedures.Required QualificationsBachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.3+ years of experience developing and deploying machine learning solutions.Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost.Experience with data engineering technologies including Spark, Databricks, Airflow, and SQL.Understanding of supervised and unsupervised learning, model evaluation, feature engineering, and hyperparameter tuning.Experience with REST APIs, microservices, and software engineering best practices.Familiarity with Git, CI/CD, Docker, and Kubernetes.Strong problem-solving, analytical, and communication skills.Preferred QualificationsExperience with Generative AI, LLMs, RAG, and AI agents.Hands-on experience with Azure Machine Learning, Azure Databricks, Azure OpenAI, or equivalent cloud services.Knowledge of MLOps platforms such as MLflow, Kubeflow, or SageMaker.Experience with vector databases, embeddings, and semantic search.Experience with LLM fine-tuning.Relevant cloud or AI certifications.","datePosted":"2026-09-19T13:12:57.686Z","dateModified":"2026-09-19T13:12:57.686Z","hiringOrganization":{"@type":"Organization","name":"Apolis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"02becb3840e6cf689909ca48"},"url":"https://jobsearcher.com/jobs/02becb3840e6cf689909ca48"}}