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Job Overview
Location
Remote
Job Type
Full-time
Category
Marketing
Date Posted
November 25, 2025
Full Job Description
đź“‹ Description
- • Own the end-to-end machine-learning lifecycle for a platform that drives millions of high-intent customers to brands every month, ensuring that every model—from real-time bidding to customer-propensity scoring—ships to production quickly, scales effortlessly, and performs flawlessly.
- • Architect and maintain a cloud-native ML stack on AWS (SageMaker, EKS, Lambda, S3, Glue) and GCP (Vertex AI, GKE, BigQuery) that supports both USA and Israel-based data-science teams, guaranteeing 99.9 % uptime for models that decide where and when $100Ms in ad spend are deployed.
- • Build reproducible, versioned training pipelines using MLflow, Kubeflow Pipelines, or Airflow; automate data validation, feature engineering, hyper-parameter tuning, and model evaluation so that data scientists can iterate daily without ever touching raw infrastructure.
- • Design real-time and batch inference services (FastAPI, TensorFlow Serving, Triton) that handle 50k+ predictions per second with <50 ms latency, while autoscaling on Kubernetes to meet traffic spikes during major shopping events.
- • Implement robust CI/CD for ML code, Docker images, and model artifacts via GitHub Actions, Argo CD, and Terraform; enforce blue-green and canary deployments so new models can be rolled out safely to 100 % of traffic within minutes.
- • Instrument comprehensive observability: Prometheus/Grafana dashboards for GPU/CPU utilization, custom metrics for model drift and data skew, and PagerDuty alerts that wake you only when it truly matters.
- • Collaborate daily with data scientists to translate Jupyter notebooks into hardened, test-covered Python modules; review PRs for model code, data schemas, and experiment tracking best practices.
- • Partner with DevOps and Security to lock down MLOps environments with IAM least-privilege roles, VPC endpoints, KMS encryption, and SOC-2 compliant logging, ensuring customer PII is never exposed.
- • Optimize GPU and CPU spend by profiling training jobs, right-sizing clusters, and leveraging spot instances—cutting cloud costs by 30 % while doubling training throughput.
- • Create self-service “ML-as-a-Service” templates so any team can spin up a new model endpoint in <15 minutes using cookie-cutter repos, Helm charts, and Terraform modules you maintain.
- • Champion data and model governance: define feature stores, enforce schema contracts, and run nightly automated tests that fail the build if data quality drops below defined SLAs.
- • Contribute to open-source MLOps tools and publish internal case studies, positioning Nift as a thought leader in performance-marketing AI.
- • Participate in an on-call rotation that respects work-life balance—pager incidents average <2 per month thanks to the resilient systems you will build.
- • Work fully remote across USA and Israel time zones with quarterly in-person summits; travel budget provided for team retreats in Tel Aviv and Boston.
🎯 Requirements
- • 4+ years building production ML systems at scale (Python, Docker, Kubernetes) with demonstrable impact on business KPIs.
- • Expert-level proficiency in at least one major cloud (AWS or GCP) including IAM, VPC, S3/GCS, EKS/GKE, and managed ML services.
- • Hands-on experience with ML orchestration tools such as MLflow, Kubeflow, Airflow, or Vertex AI Pipelines.
- • Strong software-engineering discipline: CI/CD, unit/integration testing, infrastructure-as-code (Terraform/CDK), and Git workflows.
- • Nice-to-have: experience with real-time bidding or ad-tech, deep knowledge of GPU optimization (CUDA, TensorRT), and familiarity with data-privacy regulations (GDPR, CCPA).
🏖️ Benefits
- • Fully remote culture with flexible hours and a $1,500 home-office stipend.
- • Competitive salary plus equity in a fast-growing, profitable company.
- • Annual $3,000 professional-development budget for conferences, courses, and certifications.
- • 20 days PTO, 10 company holidays, and a quarterly mental-health day.
- • Comprehensive medical, dental, and vision coverage for you and dependents at no premium cost.
Skills & Technologies
About Nift Networks, Inc.
Nift Networks, Inc. provides solutions that enable businesses to thank customers with gifts, driving revenue and customer engagement. Rather than relying on disruptive ads, Nift connects brands with consumers through thank-you gifts that encourage them to try new services. Nift's offerings cater to various sectors, including e-commerce, restaurants, and partnerships, helping businesses acquire customers and boost brand loyalty. Millions of people have already received thank-you gifts through Nift. Nift empowers businesses to create moments of joy and acquire new customers at scale.
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