Machine Learning Engineer
Onsite hybrid role, must be local
Need Valid LinkedIn
Need GC Copy (Front + Back) and Photo ID for USC ( no info must be hidden/blacked out as they wont be considered)
Possible CTH role
Must Have
Need Valid LinkedIn
Need GC Copy (Front + Back) and Photo ID for USC ( no info must be hidden/blacked out as they wont be considered)
Possible CTH role
Must Have
- “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.”
- Python, SQL, PySpark, Docker
- DevOps and CI/CD concepts
- AWS cloud services
- 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products
- 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 Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
- 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.
- Master’s degree in computer science, software engineering, or related fields required
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Seniority level
Entry level -
Employment type
Contract -
Job function
Engineering and Information Technology -
Industries
Hospitality
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