[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Robert Half is a leading financial services organization seeking a Machine Learning Engineer to transform application support through AI and automation. The role focuses on designing and building machine learning solutions and intelligent automation tools to improve system reliability and reduce manual support efforts.ResponsibilitiesDesign, build, and deploy machine learning systems and AI frameworks that automate application support and IT operations workflowsDevelop end-to-end ML solutions including data pipelines, feature engineering, model training, and production deploymentBuild AI-powered tools and internal platforms, such as: Intelligent support copilots, Automated diagnostics and troubleshooting engines, Self-healing and auto-remediation frameworksCreate predictive and prescriptive models for: Incident detection and prevention, Root cause analysis (RCA), Capacity and performance forecastingApply LLMs, NLP, and GenAI techniques to operational data, including logs, alerts, tickets, and documentationDesign and implement AI-driven automation frameworks to streamline repetitive support tasks and reduce MTTRLeverage tools like Copilot, Gemini, OpenAI, Claude, etc. to accelerate development of ML models, scripts, and automation pipelinesIntegrate ML models and AI services into production support environments, monitoring tools, and DevOps pipelinesPartner with Application Support, SRE, and Engineering teams to embed AI capabilities into day-to-day operationsBuild scalable model monitoring, feedback loops, and continuous improvement pipelinesDevelop dashboards and metrics to track AI effectiveness, system performance, and automation impactSkills5–10+ years of experience in Machine Learning Engineering, Data Science, or AI EngineeringExperience supporting or automating application support / production systemsStrong programming expertise in Python (required)SQL and data processing frameworksProven experience building machine learning platforms, tools, or reusable AI frameworksEnd-to-end ML pipelines and production-grade systemsAutomation solutions leveraging AI/MLHands-on experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, or equivalentExperience with LLMs and GenAI ecosystems, including OpenAI, Gemini, Anthropic, or similarPrompt engineering and AI-assisted developmentStrong experience building anomaly detection systemsPredictive models and time-series forecasting solutionsExperience working with operational data (logs, metrics, monitoring systems, incident data)Solid understanding of application support and production environmentsIncident management and reliability engineering conceptsExperience deploying and managing ML models in production environments (MLOps practices)Familiarity with cloud platforms (AWS, Azure, or GCP) and scalable architecture designCompany OverviewRobert Half provides staffing, recruiting, finance, and accounting services. It was founded in 1948, and is headquartered in Frankfurt, Hessen, DEU, with a workforce of 10001+ employees. Its website is https://www.roberthalf.de.Company H1B SponsorshipRobert Half has a track record of offering H1B sponsorships, with 1 in 2024, 31 in 2023, 32 in 2022, 18 in 2021, 22 in 2020. Please note that this does not guarantee sponsorship for this specific role.