Consumer Edge Insight LLC
Senior Software Engineer New York City - Hybrid
Consumer Edge Insight LLC, New York, New York, us, 10261
Consumer Edge is a leading data and AI company specializing in transaction-based intelligence across the global consumer economy. Our technology transforms complex data into clear, actionable insights for enterprise clients. We believe technology is the foundation of innovation, and our engineering teams turn that belief into reality every day.
Role Summary As a Senior Software Engineer (Infra) on the AI Products team, you’ll design and scale the infrastructure that supports AI model training, deployment, and monitoring. You’ll build pipelines, evaluation frameworks, and tooling that enable rapid iteration on AI features, ensuring reliability, cost efficiency, and security in production systems.
Your Main Responsibilities
Build and operate training and inference pipelines for LLMs and ML models.
Develop and maintain evaluation and monitoring frameworks for AI performance.
Implement metrics and alerts for data drift, model quality, and latency.
Optimize infrastructure for throughput, cost, and observability.
Work closely with Data Scientists to productionize models and APIs.
Contribute to MLOps best practices for versioning, testing, and CI/CD of models.
Document architectural decisions and mentor engineers on ML system design.
We’re Looking for Someone With
7+ years
of software engineering experience in ML infra or backend development.
Proficiency in
Python
and experience with ML/DS libraries (Pandas, TensorFlow, PyTorch).
Hands‑on with
Vertex AI ,
BigQuery ,
Dataflow ,
Dagster , and
Terraform .
Familiarity with LLM tooling (Hugging Face, OpenAI SDKs).
Strong CI/CD and container skills (Docker, Kubernetes).
Effective collaboration skills and attention to system reliability.
Tech Stack & Team Context You’ll work within AI Products, collaborating with Data Scientists and Platform Engineers across EU and US time zones. Stack includes
Python ,
Vertex AI ,
BigQuery ,
Dataflow ,
Dagster , and
Terraform . Focus on building ML infrastructure with robust guardrails for quality and efficiency.
Work Arrangement We are a remote‑first company with a distributed environment and flexible working arrangements. We also have an office in New York for those who prefer in‑person collaboration.
Compensation & Benefits The annual base salary for this role is between $175,000 – $225,000 based on experience, with the opportunity for a performance‑based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work‑from‑home flexibility, and subsidized health benefits.
Equal Employment Opportunity As set forth in Consumer Edge’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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Role Summary As a Senior Software Engineer (Infra) on the AI Products team, you’ll design and scale the infrastructure that supports AI model training, deployment, and monitoring. You’ll build pipelines, evaluation frameworks, and tooling that enable rapid iteration on AI features, ensuring reliability, cost efficiency, and security in production systems.
Your Main Responsibilities
Build and operate training and inference pipelines for LLMs and ML models.
Develop and maintain evaluation and monitoring frameworks for AI performance.
Implement metrics and alerts for data drift, model quality, and latency.
Optimize infrastructure for throughput, cost, and observability.
Work closely with Data Scientists to productionize models and APIs.
Contribute to MLOps best practices for versioning, testing, and CI/CD of models.
Document architectural decisions and mentor engineers on ML system design.
We’re Looking for Someone With
7+ years
of software engineering experience in ML infra or backend development.
Proficiency in
Python
and experience with ML/DS libraries (Pandas, TensorFlow, PyTorch).
Hands‑on with
Vertex AI ,
BigQuery ,
Dataflow ,
Dagster , and
Terraform .
Familiarity with LLM tooling (Hugging Face, OpenAI SDKs).
Strong CI/CD and container skills (Docker, Kubernetes).
Effective collaboration skills and attention to system reliability.
Tech Stack & Team Context You’ll work within AI Products, collaborating with Data Scientists and Platform Engineers across EU and US time zones. Stack includes
Python ,
Vertex AI ,
BigQuery ,
Dataflow ,
Dagster , and
Terraform . Focus on building ML infrastructure with robust guardrails for quality and efficiency.
Work Arrangement We are a remote‑first company with a distributed environment and flexible working arrangements. We also have an office in New York for those who prefer in‑person collaboration.
Compensation & Benefits The annual base salary for this role is between $175,000 – $225,000 based on experience, with the opportunity for a performance‑based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work‑from‑home flexibility, and subsidized health benefits.
Equal Employment Opportunity As set forth in Consumer Edge’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr