Senior ML & AI Engineering Lead (Remote)

Aimlroles

Northern (KY)

Hybrid

USD 184,000 - 270,000

Full time

14 days+
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Benefits offered by this job

401(K) match
Tuition reimbursement
Parental leave
Medical/dental/vision coverage

Job summary

Credit Acceptance seeks a highly experienced Leader of ML and AI Engineering to drive AI-powered solutions across business areas. You will lead a team of MLEs, design scalable AI systems, and partner with engineering to implement state-of-the-art ML/GenAI solutions that deliver measurable business value.

You will collaborate with stakeholders to define roadmaps, manage priorities, and ensure secure, reliable deployment of AI technologies while fostering a culture of excellence and continuous

Qualifications

  • PhD or MS with extensive practical ML/DS experience.
  • 8+ years designing, building, deploying ML/AI systems at scale.
  • Proven leadership and mentoring of data science teams.
  • Experience partnering with engineering, product, and business teams.

Responsibilities

  • Lead vision and strategic execution for ML/AI across business areas.
  • Mentor MLEs and guide design principles and coding standards.
  • Define strategic roadmaps and translate into quarterly plans.
  • Build scalable, secure AI/ML systems and pipelines across platforms.
  • Drive delivery of ML/GenAI solutions with cross-functional collaboration.
  • Oversee ML/LLM operations, versioning, automation, monitoring.

Skills

Machine Learning
Leadership
GenAI
Mentoring
ML Ops
Team Collaboration

Education

PhD in Computer Science/Stats/Economics
MS in a relevant technical field

Tools

Kubeflow
DVC
Ray
Databricks MLflow
Databricks Model Serving
Apache Airflow
Spark
Flink
Kafka/Kinesis
Snowflake

Job description

Credit Acceptance seeks a highly experienced Leader of ML and AI Engineering to drive AI-powered solutions across business areas. You will lead a team of MLEs, design scalable AI systems, and partner with engineering to implement state-of-the-art ML/GenAI solutions that deliver measurable business value.

You will collaborate with stakeholders to define roadmaps, manage priorities, and ensure secure, reliable deployment of AI technologies while fostering a culture of excellence and continuous

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