Senior Machine Learning Engineer

Alpha Business Solutions

Chicago, IL(remote)

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JOB DETAILS

SALARY

$80–$100 Per Hour

SKILLS

Agile Programming Methodologies, Algorithms, Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Cadence, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Relations, Data Processing, Data Science, Dental Insurance, Design Patterns Programming Methodologies, DevOps, Docker, Information/Data Security (InfoSec), Machine Learning, Product Lifecycle, Prototyping, Python Programming/Scripting Language, SQL (Structured Query Language), Software Engineering, Team Player, Use Cases, Vision Plan

LOCATION

Chicago, IL

POSTED

30+ days ago

Position: Senior Machine Learning Engineer
Location: Remote 100% (Chicago, IL)
Duration: 6+ months

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.

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

In this role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations.

You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn’t just a nice to have, it’s a must.

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 *** 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

Benefits:
We offer a competitive compensation package that includes:
· Pay Rate: $80 - $100 per/hour W2
o Note: Pay rate will be commensurate with experience.
· Medical for full time employees
· Dental, and Vision Insurance
· Life Insurance, Short-Term Disability, Long-Term Disability, etc.

About the Company

Alpha Business Solutions

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