Senior ML/AI Engineer

PulseRise Technologies

Senior ML/AI Engineer developing models and systems for intelligent enterprise decision-making. Focused on applied AI, data analytics, and production-level machine learning integrations.

Posted 5/30/2026full-timeNew York City • New York • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

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 agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action
Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment
Architect and improve the production graph RAG system
Build RAG systems and LLM integrations that power natural language interfaces and autonomous workflows
Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale
Own model performance end-to-end: monitoring, retraining, and continuous improvement in production
Stay at the frontier of AI research and bring relevant innovations into the platform

Requirements

What you’ll need

5+ years of experience in applied machine learning and AI
M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field — or equivalent practical experience
Deep proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, scikit-learn)
Strong background in statistical analysis, predictive modeling, and time series forecasting
Experience with applied agentic AI/ML systems and multi-agent orchestration
Experience with NLP, LLMs, and RAG architectures
Comfort working with large-scale datasets and distributed computing environments
Nice to have Graph database or graph RAG experience (a major plus — core to the stack)
Background in retail, supply chain, or demand forecasting domains
Experience with graph neural networks or knowledge graphs
Familiarity with MLOps platforms and model serving infrastructure
Contributions to open-source ML/AI projects or published research

Benefits

Comp & perks

High agency
Low ego
Great communicator

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAIPythonPyTorchTensorFlowscikit-learnstatistical analysispredictive modelingtime series forecastingNLP

Certifications

M.S. in Computer SciencePh.D. in Machine LearningPh.D. in Statistics