{"schemaVersion":"jobsearcher.job.v1","id":"25be984f591ef4e768f2e154","url":"https://jobsearcher.com/jobs/25be984f591ef4e768f2e154","canonicalUrl":"https://jobsearcher.com/jobs/25be984f591ef4e768f2e154","title":"Senior ML Engineer","description":"Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. • Clean, preprocess, and analyze large datasets to extract meaningful insights. • Deploy machine learning models into production environments and monitor their performance. • Continuously improve model accuracy and performance through experimentation and optimization. • Stay up-to-date with the latest advancements in machine learning and related technologies. • Communicate findings and results to stakeholders in a clear and concise manner. Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. • 2~5 years of experience in machine learning, data science, or a related field. • Proficiency in programming languages such as Python, Java, or Scala. • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. • Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform. • GCP Professional Machine Learning Engineer certification is required. • Experience with version control systems such as Git. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Preferred Qualifications: • Master's degree or higher in Computer Science, Engineering, Mathematics, or a related field. • Experience with distributed computing frameworks such as Apache Spark. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. • Experience with natural language processing (NLP) or computer vision (CV) techniques. • Experience with continuous integration and continuous deployment (CI/CD) pipelines. • Contributions to open-source projects or participation in relevant communities.","company":"Resolve Tech Solutions","rawCompany":"resolve tech solutions","city":"Addison","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:32:28.466Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"Senior ML Engineer","description":"Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. • Clean, preprocess, and analyze large datasets to extract meaningful insights. • Deploy machine learning models into production environments and monitor their performance. • Continuously improve model accuracy and performance through experimentation and optimization. • Stay up-to-date with the latest advancements in machine learning and related technologies. • Communicate findings and results to stakeholders in a clear and concise manner. Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. • 2~5 years of experience in machine learning, data science, or a related field. • Proficiency in programming languages such as Python, Java, or Scala. • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. • Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform. • GCP Professional Machine Learning Engineer certification is required. • Experience with version control systems such as Git. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Preferred Qualifications: • Master's degree or higher in Computer Science, Engineering, Mathematics, or a related field. • Experience with distributed computing frameworks such as Apache Spark. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. • Experience with natural language processing (NLP) or computer vision (CV) techniques. • Experience with continuous integration and continuous deployment (CI/CD) pipelines. • Contributions to open-source projects or participation in relevant communities.","datePosted":"2026-06-26T02:32:28.466Z","dateModified":"2026-06-26T02:32:28.466Z","hiringOrganization":{"@type":"Organization","name":"Resolve Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Addison","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"25be984f591ef4e768f2e154"},"url":"https://jobsearcher.com/jobs/25be984f591ef4e768f2e154"}}