AI/ML Engineer in NYC, developing and deploying AI systems, designing and implementing end-to-end AI workflows, and leading the design of ML orchestration frameworks.
Requirements
- Proven track record of launching AI/ML products into production.
- Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit-learn, SQL, Spark.
- Experience writing production-grade Python (object- and function-oriented).
- Hands-on expertise with large-scale ML systems, GenAI (LLMs, diffusion), agents, and graph-based models.
- Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.).
- Strong problem-solving skills, adaptability, and a hacker mentality.
- Excellent communication skills—able to work with both technical and non-technical stakeholders.
- Demonstrated thought leadership and innovation in applied AI.
Benefits
- One pager benefits and perks listed (no specific details)