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Machine Learning Engineer (Remote - US) at Jobgether. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.. One of our companies is currently looking for a . Machine Learning Engineer. in the . United States. .. This role offers a unique opportunity to design, build, and deploy production-grade machine learning systems that directly drive business outcomes. As a Staff-level Machine Learning Engineer, you will work cross-functionally with engineering and data science teams to lead initiatives, scale infrastructure, and influence long-term ML strategy. The ideal candidate is highly skilled in model development, deployment, and performance optimization, with a hands-on approach to solving complex, data-driven problems in real-time environments. If you are excited by building solutions that serve millions and have a measurable business impact, this role is for you.. . Accountabilities:. . Lead machine learning initiatives from concept to deployment with cross-functional stakeholders. . Design and implement scalable, real-time inference systems and streaming data pipelines. . Build, deploy, and continuously improve ML models that support product and business goals. . Establish robust monitoring and retraining processes to ensure ongoing model performance. . Mentor and provide technical guidance to engineering teams on ML best practices. . Define and document standards for model development, deployment, and optimization. . Collaborate with product, engineering, and data teams to ensure ML solutions align with business strategy. . . . 8+ years of experience in machine learning, including 2+ years in a staff or senior engineering role. . Expertise in Python, SQL, Spark, Databricks, and cloud platforms such as AWS. . Deep understanding of ML frameworks like TensorFlow, PyTorch, Scikit-learn, and XGBoost. . Proven experience building and deploying LLMs and scalable ML applications. . Familiarity with model serving, feature stores, streaming pipelines, and MLOps tools. . Strong analytical skills with a background in statistics and large-scale data modeling. . Excellent communication skills, capable of translating technical concepts for non-technical stakeholders. . Master's degree in Computer Science, Mathematics, or a related field (or equivalent experience). . . Company Location: United States.