RRemoteville
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Senior Machine Learning Engineer, AI Studio

Skills
Computer ScienceAdoptionApache SparkCalibrationContinuous ImprovementDriftGED
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Doctorate degree
  • Or Master’s degree and 2 years of relevant experience
  • Or Bachelor’s degree and 4 years of relevant experience
  • Or Associate’s degree and 8 years of relevant experience
  • Or High school diploma / GED and 10 years of relevant experience
  • Demonstrated end-to-end ownership of at least one production ML or GenAI system
  • Strong hands-on proficiency in Python and SQL
  • Experience designing production software services and evaluation pipelines
  • Advanced capability in at least one of Applied ML GenAI/RAG/agents or ML platform/MLOps
  • Experience with advanced ML methods such as uncertainty causal or drift-aware retraining
  • Experience with transformers multimodal pipelines or inference optimization
  • Experience with cloud and platform tools such as AWS SageMaker Databricks Spark Kubernetes Airflow or MLflow
  • Experience with human-AI review approval and regulated delivery systems
  • Strong product thinking and ability to connect technical decisions to business value
  • Technical leadership mentoring and constructive challenge while remaining hands-on
  • Excellent analytical judgment and clear communication of evidence trade-offs and limitations
  • Cross-functional leadership across business product architecture engineering and control functions
  • Ownership resilience and continuous improvement through incidents and feedback

Nice to have

  • Hands-on leadership
  • Product thinking
  • Analytical judgment
  • Clear communicator
  • Cross-functional
  • Ownership
  • Resilience
  • Continuous improvement

Day to day

  • Own end-to-end AI assets from problem framing through architecture, model development, launch and stabilization
  • Build production software and machine learning systems across data pipelines, retrieval, agents, APIs and orchestration
  • Establish evaluation, monitoring and lifecycle operations to deliver measurable business outcomes and governed reusable AI capabilities

Hiring process

  • Apply now
  • Submit materials
  • Interview process