What are the responsibilities and job description for the Senior Machine Learning Engineer position at SmartIPlace?
Title: Senior Machine Learning Engineer
Duration: 6 months
C2C
Visa: USC/GC/GC-EAD/H4-EAD
Client- HyaatLocation: Hybrid in Chicago/IL (need local to Chicago)
must have 10 years
PHD Preferred
Local to chicago preferred
Position RESPONSIBILITIES
Experience And Qualifications
master’s degree in computer science, software engineering, or related fields required
Duration: 6 months
C2C
Visa: USC/GC/GC-EAD/H4-EAD
Client- HyaatLocation: Hybrid in Chicago/IL (need local to Chicago)
must have 10 years
PHD Preferred
Local to chicago preferred
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.
Experience And Qualifications
- 10 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
