E

Ernst & Young

Global professional services: consulting, assurance, tax

AI Lead Specialist

Applied Machine LearningUpdated on Nov 14
Full-timeSantiago, Santiago Metropolitan Region, ChileNo salary listed

About the Job

Requirements

  • A university degree in computer engineering, civil computer engineering, computing, or a related field.
  • Regular employment status in Chile or a valid work permit.
  • Demonstrated experience taking at least two models to production, not merely proofs of concept or academic projects.
  • Technical reading and conversational English at a minimum B2 level.
  • Availability for a hybrid work arrangement and occasional visits to work sites or clients.
  • At least 5 years of experience in Machine Learning Engineer, Data Scientist, or similar roles, including at least 3 years working with production models.
  • Experience from data or technology consulting firms, technology product companies, or internal advanced analytics teams in data-intensive industries such as mining, energy, retail, banking, telecommunications, or utilities.
  • Advanced Python, including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow, and advanced SQL.
  • Distributed processing with Spark or Databricks.
  • MLOps experience with MLflow, model and data versioning, CI/CD using Git, GitHub Actions, or Azure DevOps, and containers using Docker.
  • Cloud experience with Azure ML, Databricks, GCP Vertex AI, or AWS SageMaker.
  • Orchestration with Airflow or Databricks Workflows, and data modeling with Delta Lake or a lakehouse.
  • Teamwork, ability to work under pressure, customer orientation, interpersonal skills, oral and written communication, flexibility to learn and adapt, and planning and organization.

Responsibilities

  • Join the Technology Solution Delivery team to support the implementation of technology solutions.
  • Bring technical capabilities and knowledge of the technology innovation industry.
  • Stay up to date with the latest developments in advisory service capabilities.
  • Build relationships with colleagues across EY practices to meet client needs.
  • Technically lead the design, development, and production deployment of machine-learning solutions for clients across the full lifecycle: understanding business problems, exploring and preparing data, modeling, validation, deployment, and monitoring.

Desired Qualifications

  • Prior consulting experience or experience in roles with direct client exposure is a strong differentiator.
  • Experience with generative AI and large language models, including retrieval-augmented generation, embeddings, vector stores, and frameworks such as LangChain.
  • Experience with time series, optimization, and visualization tools such as Power BI or Streamlit.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs