aiml engineer nyc, ny

ai/ml engineer nyc ny

Develop and Deploy AI Systems

Architect build and deploy ML/GenAI products on cloud infrastructure (AWS or similar).

Design and implement end-to-end AI workflows: data ingestion feature engineering modeling evaluation and deployment.

Create automated pipelines for continuous learning model promotion and performance monitoring.

System Architecture & Reliability

Lead the design of ML orchestration frameworks (Airflow Kedro ZenML Flyte) to ensure reproducibility and scalability.

Oversee deployment of large-scale and multi-agent AI systems with high reliability and fault tolerance.

Continuously optimize workflows for efficiency robustness and performance in production.

Applied Data Science & Business Impact

Translate complex business problems into AI solutions including data collection experiment design and roadmap planning.

Develop interpretable modular and scalable ML systems that deliver measurable business value.

Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact.

Innovation & Thought Leadership

Stay current with advancements in AI/ML including LLMs diffusion models graph AI and agent architectures.

Propose and prototype new approaches for integrating emerging technologies into production products.

Develop methods to quantify and communicate AI performance and business ROI.

Promote responsible ethical and impactful AI practices across the organization.

all about you

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 skillsable to work with both technical and non-technical stakeholders.

Demonstrated thought leadership and innovation in applied AI.

benefits & perks

Check out our one pager!

location

Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.

interview rounds

Phone Screen

Peer Interview

Founders Interview

equal opportunity employer