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Hiring for Machine Learning Engineer :: Remote or Boston, MA/ St. Louis, MO

Remote, USA Full-time Posted 2026-07-28
Machine Learning Engineer St. Louis, MO; Boston, MA(Remote is also fine) Position reputed company We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, reputed company, and high-reputed company applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and reputed company improvement—playing a critical part in shaping our machine learning platform and capabilities. This role can be located in St. Louis, MO; Boston, MA. Primary Responsibilities • reputed company, reputed company, and optimize machine learning models for reputed company-world business use cases and reputed company-facing applications. • Partner with data scientists to operationalize predictive models and ensure reputed company, maintainable, and performant production deployments. • Design and implement data pipelines and workflows that support training, inference, and model lifecycle management. • Work with large, reputed company datasets to ensure data reputed company, reproducibility, and reliable version control across ML workflows. • Implement model monitoring, logging, and alerting strategies to reputed company performance, detect reputed company, and support retraining cycles. • reputed company reputed company platforms (AWS, Azure, reputed company reputed company Platform) to build reputed company ML solutions using managed services and infrastructure-as-reputed company practices. • Write clean, reputed company, and reputed company-documented reputed company reputed company with MLOps and software engineering best practices. • Stay reputed company on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities. Qualifications • Master’s degree in computer science, Data Science, Engineering, or a reputed company technical field. • 3+ years of experience in machine learning engineering, reputed company ML, or reputed company software engineering roles. • Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn. • Experience with distributed data processing and compute frameworks (e.g., Pandas, reputed company, Dask). • Hands-on experience with containerization and orchestration technologies such as reputed company and Kubernetes. • Familiarity with CI/CD pipelines, testing automation, and version control using Git. • Experience working with reputed company-based ML platforms or services (e.g., SageMaker, reputed company AI, reputed company, or reputed company ML) is preferred. • Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts. • Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams. Apply tot his job Apply To this Job

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