4 days ago
Base Salary
$210k - $300k/yr
Responsibilities
- Own ML pipelines and infrastructure from experimentation through production, including training, inference, and agentic workloads.
- Build reproducible environments and streamlined paths for AI/ML teams to move models and agents from prototypes to production.
- Establish cloud infrastructure as code and CI/CD processes for safe ML deployments.
- Serve and optimize inference and forecasting workloads for latency, throughput, and cost, including asynchronous and parallelized processing.
- Partner with data engineering on model data interfaces and writing model outputs back into platform data systems.
- Make reliability, observability, security, and privacy standard across ML systems.
- Measure model and agent quality in production through online evaluations and human-in-the-loop review.
Requirements
- 5+ years of experience in MLOps, ML platform, AI infrastructure, or platform engineering on production ML systems.
- Strong production software development experience, especially in Python, with comfort working in Ruby or Java codebases.
- Deep understanding of cloud infrastructure, distributed data systems, infrastructure as code, CI/CD, and production containerized workloads.
- Experience owning an end-to-end production ML pipeline and evaluating architecture, security, and cost trade-offs.
- Experience productionizing systems developed by research or AI teams.
- Preferred experience with LLMOps tooling, inference optimization using vLLM, ONNX, or TensorRT, GPU and spot-instance economics, MLflow, BentoML, Ray, Airflow, Snowflake, Kafka, vector databases, Bedrock, SageMaker, Vertex AI, and multimodal or generative AI.
Benefits
- Equity and fully paid employee health coverage through Aetna, plus dental and vision coverage through Guardian.
- Carrot Fertility Pro, 12 weeks of paid parental leave, unlimited PTO, and regular four-day holiday weekends.
- 401(k) through Vestwell.
- Paid relocation support to New York City.
- Fully equipped workspace with a laptop, monitor, keyboard, and a $200 setup stipend.
- Catered Friday lunches, team dinners, unlimited coffee and snacks, and a New York-based work location.
Tech Stack
Apache AirflowApache KafkaAWSGitHub ActionsJavaKubernetesMLflowPythonRedisRubyRuby on RailsSnowflakeTerraform
Categories
About Confido
Confido builds an AI-powered back-office and planning platform for consumer packaged goods brands, unifying cash application, deductions/disputes, trade promotion management, sales forecasting, demand planning, and analytics. The privately held company is headquartered in New York and sells its software by subscription to finance, accounting, sales, and operations teams. It reports serving 200+ CPG brands, including OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.