Senior ML/AI Engineer

Clera

Senior ML/AI Engineer building forecasting, agentic AI, RAG, and LLM systems for an enterprise consumer intelligence platform. Owning production ML architecture, deployment, monitoring, and continuous model improvement in New York City.

Posted 8/6/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $170,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying machine learning models, with a strong focus on building scalable ML systems and architectures. Proficient in Python and its ML ecosystem, with a solid foundation in classical machine learning and statistics.

Highest-signal resume keywords

Machine Learning Systems ArchitecturePython ProgrammingML Pipeline DevelopmentAgentic AI HarnessesGraph Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningTime Series PredictionConsumer Sentiment AnalysisAnomaly DetectionFeature EngineeringModel TrainingModel EvaluationProduction DeploymentSQLClassical ML

Tools & Technologies

PyTorchTensorFlowScikit-learnLangChain

Certifications & Qualifications

M.S. in Computer SciencePh.D. in Machine Learning

Industry Keywords

Demand ForecastingNatural Language InterfacesAutonomous WorkflowsData PreprocessingModel Performance Monitoring

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale
Develop and iterate on the platform's agentic AI architecture, building systems that reason across heterogeneous data sources and take autonomous action
Build and maintain ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and production deployment
Architect RAG systems and LLM integrations for natural language interfaces and autonomous workflows
Collaborate with backend engineers to optimize models for latency, reliability, and scale
Own model performance through monitoring, retraining, and continuous production improvement
Stay at the frontier of AI research and bring relevant innovations into the platform

Requirements

What you’ll need

5+ years of experience in Machine Learning roles
Significant experience designing and building ML systems architecture
M.S. or Ph.D. in Computer Science, Machine Learning, or a related field
Extensive hands-on experience with Python and its ML ecosystem, including PyTorch, TensorFlow, scikit-learn, and LangChain
Proven production experience building and deploying end-to-end ML systems
Experience building agentic AI harnesses for production use cases
Strong foundational ML knowledge beyond LLM applications, including classical ML, statistics, and time series
Experience with graph databases
Proficiency with SQL
Visa sponsorship is not available; candidates must be based in New York or willing to relocate

Benefits

Comp & perks

Early-stage equity participation
Opportunity to shape the technical direction of a high-growth AI platform from the ground up