About the role

  • Senior ML Operations Engineer developing AI tools for the construction industry through intelligent automation. Collaborating with teams to launch scalable AI agents and improve operations.

Responsibilities

  • Develop and manage infrastructure for distributed model training (e.g., SageMaker, Ray, Kubernetes).
  • Deploy ML models using containerization (Docker), orchestration tools (Kubernetes, ECS), and serving frameworks
  • Integrate ML workflows seamlessly with CI/CD pipelines for efficient model building, testing, and deployment
  • Create and maintain robust data and ML pipelines using Prefect, Airflow, or custom orchestration tools
  • Implement comprehensive experiment tracking (MLflow, Weights & Biases) and observability systems (Arize, Evidently)
  • Establish effective monitoring, logging, and governance practices for ML systems.

Requirements

  • BS/MS in Computer Science, Data Science, or related technical discipline
  • 5+ years experience in ML Operations, with at least 3 years focused on scalable AI/ML deployments
  • Strong proficiency with cloud infrastructure (preferably AWS), container technologies (Docker, Kubernetes), and modern MLOps frameworks
  • Extensive experience managing GPU and CPU resources for specialized AI workloads (Computer Vision, NLP, or LLM fine-tuning)
  • Practical experience with data quality and performance monitoring in production ML environments
  • Bonus: Experience designing data architectures optimized for AI/ML (vector, graph databases)
  • Bonus: Familiarity with RAG systems and agentic applications

Benefits

  • A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters
  • Competitive salary and stock option equity packages
  • 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!
  • Learning & Growth stipend
  • Flexible long-term work options (remote and hybrid)
  • Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us!
  • Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
  • IRL / In-Person retreats throughout the year

Job title

Senior ML Operations Engineer

Job type

Experience level

Senior

Salary

$162,000 - $234,000 per year

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job