Jobs at 4M Analytics

Lead research and production implementation of computer vision and algorithmic solutions, own end-to-end model quality and deployment, design experiments, monitor production health, mentor team members, and integrate AI-augmented workflows while collaborating with data engineering and product teams.

Build and maintain distributed data pipelines (SQS, Airflow, Kubernetes), integrate ML outputs into ETL workflows, contribute to shared Python libraries, debug multi-service pipelines, improve observability, and manage ETL/data infrastructure and database operations for large-scale datasets.

Own onboarding, adoption, and renewals for a portfolio of AEC enterprise accounts. Build executive and project-level relationships, track account health and usage, identify expansion opportunities, lead implementations, and feed customer insights into product and sales strategy to protect and grow ARR.

Build and maintain resilient, highly available cloud infrastructure using Terraform and EKS. Lead GitOps with ArgoCD, manage Grafana-based observability, implement autoscaling (Karpenter), develop Python tooling and AI agents, and integrate automated image scanning and SCA into the SDLC to ensure security and reliability.

The role involves building HR programs, supporting HR processes, partnering with managers on talent development, and optimizing HR infrastructure in a fast-paced tech environment.

Build and operate the object-detection pipeline and its infrastructure: orchestration, data plumbing, CI/CD, deployment, model and data lifecycle, benchmarking, debugging, and partnering with algorithm and labeling teams to productionize research.