Address
Form of work
SalaryRole : Senior ML Engineer
Location : Remote
Jobtype : W2
Pay : Market
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 Hyatt 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
Job Type: Contract
Pay: $70.00 - $75.00 per hour
Schedule:
- 8 hour shift
Application Question(s):
- Interested in Hybrid Role either in Atlanta, GA ?
Experience:
- Machine learning: 1 year (Required)
Work Location: Remote
