11 часов назад
Senior AI Engineer
170 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer: Design and deploy intelligent AI systems including demand forecasting models, agentic reasoning architectures, and LLM integrations for enterprise retail clients with an accent on production-grade deployment and applied research. Focus on building scalable ML pipelines, architecting autonomous AI workflows, and ensuring model performance and reliability in production.
Location
Location: On-site in New York, NY, USA
Company
Early-stage AI-native consumer intelligence platform.
What you will do
- 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 an agentic AI architecture that reasons across heterogeneous data sources and takes autonomous action.
- Build and maintain end-to-end ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and production deployment.
- Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows.
- Collaborate with backend engineers to ensure models meet production standards for latency, reliability, and scale.
- Own model performance end-to-end: monitoring, retraining, and continuous improvement in production.
Requirements
- Location: On-site in New York, NY, USA
- 3+ years of hands-on ML experience building production ML systems.
- Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, or equivalent).
- Experience with agentic systems, LLM harnesses, and graph databases.
- Strong SQL skills.
- M.S. or Ph.D. in Computer Science, Machine Learning, or related field.
- Background in large tech companies or high-growth startups with production ML systems.
- Visa sponsorship is not available for this role.
Culture & Benefits
- Competitive base salary range: $170,000 – $230,000 USD annually.
- Work on cutting-edge AI technologies in a startup environment.
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