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Amtex Systems Inc

ML Integration and Analytics Engineer

Amtex Systems Inc, Rochester, New York, United States

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Senior Manager @ Amtex Systems Inc. | Client Management | Technology Consulting | Service Delivery | Recruitment Hi

We have an urgent role of ML Integration and Analytics Engineer.

ML Integration and Analytics Engineer

Prefer local candidates in Rochester NY area

Full Time

Job Summary:

Machine Learning Integration and Analytics Engineer would be Responsible for deploying, maintaining, and enhancing machine learning models within the Snowflake environment, while also developing and refining Power BI dashboards. This role serves as the bridge between advanced machine learning outputs and actionable business insights, ensuring models and dashboards adapt to evolving requirements.

Essential Functions:

ML Code Integration: Deploy, test, and validate ML models in Snowflake in collaboration with data engineering teams.

Model Maintenance: Monitor and support existing models, addressing accuracy, performance, and operational issues.

Model Adaptation: Recalibrate and enhance models based on new business inputs, data sources, and evolving use cases.

Visualization Development: Design, develop, and maintain Power BI dashboards that adhere to modern visualization and storytelling best practices.

Visualization Maintenance: Update and enhance dashboards with new KPIs, metrics, and analytical requirements.

Collaboration: Work closely with data scientists, engineers, and business stakeholders to translate technical outputs into accessible insights.

Management Responsibility: Machine Learning Integration and Analytics Engineer is an individual contributor and operates under the general direction of the Enterprise Architecture.

Education and Experience:

Bachelor’s or master’s degree in a quantitative field such as statistics, math, comp. science, data science.

Experience: 4 – 7 years experience in data science, predictive analytics, or related roles preferably in retail industry.

Proven experience deploying ML models into production environments.

Proficiency in Python for ML model integration, automation, and performance monitoring.

Familiarity with Snowflake and its integration with ML workflows.

Strong Power BI development skills, including DAX, data modeling, and visualization best practices.

Understanding of ML model lifecycle management (evaluation, retraining, adaptation).

Seniority level Mid-Senior level

Employment type Full-time

Job function IT Services and IT Consulting

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