Machine Learning Engineer - Agentic Ai (Remote | $85/Hr)

ML Engineer (Coding Agent Experience)Desplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo. ¿Es usted el candidato adecuado para esta oportunidad?Position:ML Engineer (Coding Agent Experience)Type:Hourly Contract (Part-Time)Compensation:$85/hourAbout the OpportunityThis opportunity is for experiencedMachine Learning Engineersinterested in contributing to advanced AI research and evaluation projects focused on frontier AI coding models.The role involves evaluating AI-generated machine learning implementations, assessing engineering quality, and applying real-world ML expertise to improve the performance of next-generation AI coding agents.ResponsibilitiesUse frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.Review AI-generated implementations involvingmodel training, inference systems, MLOps, and LLM applications.Identify bugs, edge cases, performance bottlenecks, and implementation failures.Compare outputs from multiple AI coding models and evaluate their technical strengths and weaknesses.Apply professional engineering judgment to realistic machine learning engineering workflows.Provide structured technical feedback to improve AI-generated code quality and model performance.Collaborate with technical reviewers to maintain consistent evaluation standards.Required Qualifications2+ years of professional Machine Learning Engineering experience.Experience buildingproduction machine learning systems, model deployment infrastructure, LLM applications, or AI-powered products.Regular experience using AI coding tools such asCursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar coding agents.Strong understanding ofmachine learning workflows, model deployment, inference systems, and MLOps.Ability to evaluate AI-generated machine learning implementations and engineering tradeoffs.Strong programming skills inPythonand modern machine learning frameworks.Excellent analytical, problem-solving, and written communication skills.Preferred QualificationsExperience deploying machine learning systems into production environments.Experience withPyTorch, TensorFlow, JAX, or similar ML frameworks.Experience building or evaluatingLLM applications, AI agents, or generative AI systems.Familiarity with cloud platforms, CI/CD pipelines, Docker, Kubernetes, or distributed ML infrastructure.Prior experience with AI model evaluation or code review projects.CompensationCompetitive compensation of $85/hour.Weekly payments.Independent contractor engagement. xbhjioeApplication ProcessEasy Apply on LinkedInCheck Email for Next StepsParticipate in Resume Evaluation & Interview StageHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

2+ years of professional Machine Learning Engineering experience. Experience building production machine learning systems, model deployment infrastructure, LLM applications, or AI-powered products . Regular experience using AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI , or similar coding agents. Strong understanding of machine learning workflows, model deployment, inference systems, and MLOps . Ability to evaluate AI-generated machine learning implementations and engineering tradeoffs. Strong programming skills in Python and modern machine learning frameworks. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience deploying machine learning systems into production environments. Experience with PyTorch, TensorFlow, JAX , or similar ML frameworks. Experience building or evaluating LLM applications, AI agents, or generative AI systems . Familiarity with cloud platforms, CI/CD pipelines, Docker, Kubernetes, or distributed ML infrastructure. Prior experience with AI model evaluation or code review projects.

Competitive compensation of $85/hour. Weekly payments. Independent contractor engagement. xbhjioe