Senior Machine Learning Engineer @ Chicago IL

  • Chicago, IL
  • Posted 19 hours ago | Updated 9 hours ago

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 2 month(s)

Skills

Operations
Design
Real-time
Use cases
Data processing
Data cleansing
Workflow
Data engineering
Data Science
Cadence
IMPACT
Design patterns
Data architecture
Data governance
FOCUS
Machine Learning (ML)
Hospitality
Amazon Web Services
Cloud computing
Python
SQL
PySpark
Docker
Streaming
Data
Agile
DevOps
Continuous integration
Continuous delivery
Communication
Teamwork
Customer facing
Computer science
Software engineering

Job Details

PURPOSE:
We're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners and colleagues.

Client seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that client guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.

POSITION RESPONSIBILITIES:

  • Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
  • Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
  • Implement and productionize final solutions via infrastructure-as-code pattern.
  • Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
  • Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
  • Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
  • Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
  • Partner with data architecture, data governance, and security team to ensure solutions meet required standards.
  • The ideal candidate demonstrates a commitment to Client core values: respect, integrity, humility, empathy, creativity, and fun.


EXPERIENCE AND QUALIFICATIONS:
5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
Expertise in AWS cloud services
Expertise in Python, SQL, PySpark, Docker
Experience with streaming and batch data architectures at scale
Experience operating in an Agile Methodology environment.
Experience with DevOps and CI/CD concepts
Excellent communication and teamwork skills
Position will not require customer-facing interactions.

EDUCATION:
master's degree in computer science, software engineering, or related fields required

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