Senior Machine Learning Engineer at NAVA Software Solutions | Torre
Senior Machine Learning Engineer
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NAVA Software Solutions

Senior Machine Learning Engineer

NAVA Software Solutions
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Emma
Emma
You'll architect and productionize impactful ML solutions, enhancing algorithmic products with cutting-edge AWS services.
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Full-time

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Posted 6 days ago

Requirements and responsibilities

Position Responsibilities: - Partner with data scientists to design workflows and 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 and imputation logic. - Enhance existing algorithmic products architecture and 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 and 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: - 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic and 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.
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