Syndesus

Syndesus

Senior ML/AI Engineer

New York, USA · Senior

Sponsorship not specified$180k-$225kDetected 57 days ago
PythonMachine LearningTensorFlowPyTorchData AnalysisNLPLLMsRAGAgentic AIMLOpsStatisticsForecastingSupply ChainLogisticsResearchLeadershipDemand Planning

About the role

  • This is applied AI at its most consequential - not research aimed at publishing papers, but production systems that reason, forecast, and act autonomously across complex enterprise data environments.
  • The role is hands-on from prototype through production, including keeping systems running reliably at scale.
  • Same bar as every other role on the team: senior enough to think deeply, but with the energy to roll up sleeves and execute.

Responsibilities

  • 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 company's agentic AI architecture - systems that reason across heterogeneous data sources and take autonomous action.
  • Build and maintain robust ML pipelines spanning data preprocessing, feature engineering, model training, evaluation, and production deployment.
  • Design RAG systems and LLM integrations that power natural language interfaces and autonomous workflows.
  • Partner with backend engineers to ensure models are production-grade - optimized for latency, reliability, and scale.
  • Own model performance end-to-end, including monitoring, retraining, and ongoing improvement in production.
  • Experience building applied agentic AI/ML systems and orchestrating multiple agents.

Requirements

  • Deep proficiency in Python, with hands-on experience across ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
  • Experience with NLP, LLMs, and RAG architectures.
  • Experience with graph neural networks or knowledge graphs.

Skills

  • The platform has driven 8-figure gross margin improvements for Fortune 500 retailers.
  • beginning in insights and research teams, then growing into innovation, marketing, and ultimately supply chain and manufacturing.
  • The company has raised $14M in seed funding and is launching publicly after nearly two years operating in stealth.

Compensation

  • $180k-$225k

Benefits

  • Requirements 5+ years of experience in applied machine learning and AI, with models deployed and operating in production.
  • M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field - or equivalent practical experience (what you've built matters more than the degree).

Company info

  • About Our Client Our client is an applied AI and data analytics company building the intelligence layer for enterprise decision-making.
  • Their platform unifies an organization's entire data landscape - internal systems, social media signals, industry reports, and consumer behavior data - into a single coherent intelligence layer that surfaces insights and automates workflows that historically took analysts weeks to complete.
  • weekly team activities (ping pong tournaments, Yankees games, happy hours, game nights), and plus-ones are welcome at events.
  • This is a true ground-floor opportunity - engineers joining at this stage will have outsized influence on architecture, product direction, and culture.
  • About the Role As a Senior ML/AI Engineer, you will design and ship the intelligent systems that sit at the core of the platform.
  • You will build the models and agentic architectures behind demand forecasting, consumer intelligence, competitive analysis, and autonomous decision-making.
  • The team is running experiments at the frontier of modern technology - ML, graph databases, and agentic AI - and is looking for engineers who share the drive to stay on that edge and translate technical innovation into real product value.
  • senior enough to think deeply, but with the energy to roll up sleeves and execute.
  • High agency, low ego, and a strong communicator.
  • Architect and continuously improve the production graph RAG system, which is a core technical differentiator for the platform.
  • Stay current on AI research and bring relevant advances into the platform.
  • Strong foundation in statistical analysis, predictive modeling, and time series forecasting.
  • Comfort working with large-scale datasets and distributed computing environments.
  • Bonus Skills Experience with graph databases or graph RAG systems (a major plus - core to the company's stack).
  • Background in retail, supply chain, or demand forecasting domains.
  • Familiarity with MLOps platforms and model serving infrastructure.
Apply directly at Syndesus →Create a free account for alerts like thisView Syndesus immigration profile

This listing is sourced directly from Syndesus's careers page and normalized into a canonical job model.