Senior ML/AI Engineer

About the job Senior ML/AI Engineer


Senior ML/AI Engineer

Location: New York City, USA
Work Model: Hybrid
Employment Type: Full-time
Salary: $180,000 - $225,000 Base Salary + Equity + Bonus

About the Role

We are seeking an experienced Senior ML/AI Engineer to build and deploy the intelligent systems that power next-generation enterprise AI solutions. This role focuses on designing production-grade machine learning models, agentic AI architectures, and advanced reasoning systems that support forecasting, consumer intelligence, competitive analysis, and autonomous decision-making.

You will work at the intersection of machine learning, large language models, graph technologies, and enterprise-scale data systems, helping transform cutting-edge AI innovations into impactful products.

Key Responsibilities

• Design, develop, and deploy machine learning models for demand forecasting, time-series prediction, anomaly detection, and sentiment analysis.
• Build and enhance agentic AI systems capable of reasoning across complex data environments and performing autonomous actions.
• Develop and maintain end-to-end ML pipelines, including data preparation, feature engineering, model training, validation, deployment, and monitoring.
• Design and optimize Retrieval-Augmented Generation (RAG) systems and LLM-powered applications.
• Contribute to the architecture and improvement of graph-based AI systems and Graph RAG capabilities.
• Collaborate closely with software engineers to ensure scalable, reliable, and production-ready AI solutions.
• Monitor model performance and implement continuous improvement and retraining strategies.
• Evaluate emerging AI technologies and integrate relevant innovations into products and workflows.

Requirements

• 5+ years of experience in applied Machine Learning or Artificial Intelligence roles.
• Proven experience deploying and maintaining ML models in production environments.
• Strong proficiency in Python.
• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Strong foundation in statistics, predictive analytics, and time-series forecasting.
• Experience with Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG).
• Experience building agentic AI systems or multi-agent orchestration frameworks.
• Familiarity with large-scale datasets and distributed computing environments.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with graph databases, knowledge graphs, or Graph RAG systems.
• Experience in retail analytics, supply chain optimization, or demand forecasting.
• Knowledge of Graph Neural Networks (GNNs).
• Experience with MLOps, model serving infrastructure, and production ML platforms.
• Open-source contributions or published research in AI/ML fields.
• Experience working in fast-paced startup environments.

Ideal Candidate

• Senior AI/ML professional with a strong track record of building innovative production systems.
• Passionate about applying cutting-edge AI technologies to solve real-world business challenges.
• Comfortable owning projects from concept through deployment and continuous optimization.
• Thrives in highly collaborative, fast-moving environments.
• Demonstrates both strategic thinking and hands-on technical execution.

Benefits

• Competitive base salary
• Performance bonus
• Equity participation
• Health, dental, and vision insurance
• 401(k) plan
• Home office stipend
• Flexible paid time off
• Strong team culture and collaborative environment
• Opportunity to work on cutting-edge AI technologies and influence product direction

Apply Now