Senior ML Engineer

The role

This person will take forecasting, optimization and clustering models from research into production. They will partner with data scientists to ship models and scale pipelines.

What you will do

• Turn prototypes into production-grade code
• Refactor existing pipelines and consolidate forecasting systems
• Extend and optimize internal ML libraries
• Build automated training, retraining and batch inference pipelines
• Design idempotent, retry-safe orchestration
• Profile and remove memory, compute and GPU bottlenecks
• Own experiment tracking, model registry, and versioning
• Build reusable feature pipelines
• Monitor data drift, prediction drift and model accuracy
• Make pipelines configuration-driven for customer onboarding

Required qualifications

• Strong professional experience building, hardening and operating ML systems in production
• High proficiency in Python with rigorous testing, code review and CI/CD practices
• Strong SQL and hands-on experience with a cloud data warehouse and dbt or a similar framework
• Experience building reliable, idempotent batch pipelines with an orchestrator such as Prefect, Airflow or Dagster
• Practical experience training and deploying PyTorch and gradient-boosted models (LightGBM or XGBoost), including GPU training
• Experience with AWS, GCP or Azure hyperscalers
• Experience with observability for data and ML systems and participating in on-call
• Ability to balance research support, platform work and operational priorities

Nice to have

• Experience with feature stores, data contracts or data quality frameworks (e.g., Great Expectations, dbt tests)
• Familiarity with shadow, canary and champion/challenger deployment patterns
• Experience with multi-tenant data platforms with strict per-customer data isolation
• Background in forecasting, supply chain, planning or analytics applications

About the company

Anaplan is a team of innovators focused on optimizing business decision-making through an AI-infused scenario planning and analysis platform. Their customers include global companies like Coca-Cola, LinkedIn, Adobe, LVMH and Bayer.