Senior AI/ML Engineer — Growth Platforms (Hybrid)

EY

Denver (CO)

Hybrid

USD 130,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)
Paid time off
Hybrid work model

Job summary

EY-Parthenon Growth Platforms AI ML Engineering Senior Associate/Consultant will play a critical role building and maintaining our core advanced analytics platform and serving the technical execution lead for high-visibility client engagements. You’ll translate business needs into technically executable ML workflows and collaborate with business leaders and engineers to deliver end-to-end solutions.

You will work with a high-performing team across ML pipelines, data ingestion, and AI tooling

Qualifications

  • Bachelor’s degree with 2+ years related work experience or graduate degree with ~18 months related work experience.
  • Familiarity with multi-modal agent frameworks (LangChain, Haystack, RAG pipelines).
  • Knowledge of vector databases (Pinecone, Weaviate, Chroma), retrieval systems, and LLM fine-tuning.
  • Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
  • Strong understanding of ML workflow including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictions.
  • Fluency in Python, PyTorch or TensorFlow, with ability to architect APIs around ML models.
  • Demonstrated experience designing, building, and maintaining ML models, frameworks, and pipelines.
  • Excellent communication skills, with the ability to convey complex, technical concepts to business and client stakeholders.
  • Willingness to travel and work in excess of standard hours when necessary.

Responsibilities

  • Translate business needs into executable AI workflows, data pipelines, and client-specific product specifications.
  • Define end-to-end architecture for agents that integrate LLMs, RAG, and multi-source data ingestion.
  • Participate in model selection, feature design, embedding strategy, and prompt frameworks.
  • Design and build robust data pipelines that are scalable, reproducible, and versioned.

Skills

AI workflows
Data pipelines
LangChain
LlamaIndex
LLM fine-tuning
Python
PyTorch
Communication
Travel willingness

Education

Bachelor’s degree
Graduate degree

Tools

Pinecone
Weaviate
Chroma
Retrieval systems
LLM fine-tuning

Job description

EY-Parthenon Growth Platforms AI ML Engineering Senior Associate/Consultant will play a critical role building and maintaining our core advanced analytics platform and serving the technical execution lead for high-visibility client engagements. You’ll translate business needs into technically executable ML workflows and collaborate with business leaders and engineers to deliver end-to-end solutions.

You will work with a high-performing team across ML pipelines, data ingestion, and AI tooling

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