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Requirement for Senior Machine Learning Engineer in Remote at Remote, Remote, USA
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From: [email protected] <[email protected]> on behalf of Avnish Naagar <[email protected]>

Sent: Tuesday, January 9, 2024 12:23 PM

To: Avnish Naagar <[email protected]>

Subject: Requirement for Senior Machine Learning Engineer in Remote

Role: Senior Machine Learning Engineer

Location: Remote

Interview Mode: Virtual interview

Type: Long-term contract

Work authorization: GC/USC Only

Must have been complete masters

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:

masters degree in computer science, software engineering, or related fields required.

Warm Regards

Avnish Naagar

Email:
[email protected]

SGI Inc..

Address: 20130 Lakeview Center Plaza, Suite 400, Ashburn,

Virginia 
20147 

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Keywords: continuous integration continuous deployment quality analyst business analyst machine learning user interface user experience javascript sfour information technology green card California Florida Georgia Illinois Kentucky Michigan New Jersey New York Pennsylvania Texas Virginia
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Tue Jan 09 23:41:00 UTC 2024
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