Machine Learning Engineer

Position Overview

Design, deploy ML models for predictive analytics in real-time tracking. Build streaming pipelines, optimize performance, ensure data quality. Collaborate, integrate, and document to enhance solutions. Stay updated, innovate, and ensure security!

Key Responsibilities

• Design, develop, and deploy machine learning models to support predictive analytics within a real-time tracking system.
• Build and optimize streaming data pipelines that process and analyse data in real-time, enabling immediate execution of downstream actions.
• Develop and integrate a rule engine that triggers automated responses based on data events and predefined conditions.
• Monitor and maintain the performance and accuracy of real-time tracking, rule engine systems, and deployed models
• Implement best practices for model management, rule engine configuration, and deployment within a cloud environment.
• Ensure data quality, integrity, and security within all machine learning and streaming solutions.
• Collaborate with analysts, developers, and software engineers to understand data requirements and integrate machine learning solutions into existing systems and applications, delivering high-value results
• Evaluate and optimize model performance by tuning hyperparameters and employing various techniques.
• Monitor and troubleshoot data pipeline performance and implement enhancements as needed.
• Document technical specifications, processes, and data models to facilitate standards, knowledge sharing and collaboration.
• Ensure security, compliance, and data integrity by safeguarding adherence to standards & best practices across the data platform.
• Optimize data queries, partitions, and storage to enhance performance, reduce costs, and ensure efficient resource utilization.
• Conduct research and stay up to date with the latest advancements in machine learning and artificial intelligence.
  
  

Requirements

• Strong analytical and problem-solving skills
• Excellent communication skills, with the ability to translate technical concepts to non-technical audiences.
• Ability to work independently and in a team-oriented environment.
• Attention to detail and a commitment to data accuracy and quality.
• Proactive and innovative mindset with a willingness to continuously learn and adapt.
• Strong time management and organizational skills
  
  

Why Work With Us?

At Silverspin, we’re not just about work—we’re about passion, innovation, and community. Joining us means you’ll be part of a team that celebrates creativity, supports professional growth, and values every voice. We’re committed to making Silverspin a place where you’ll be excited to come to work every day (and maybe have a little fun along the way!). 🎉💼 We offer:

• Competitive Salary & Benefits
• Growth & Development Opportunities
• Creative and Collaborative Environment
  
  

Silverspin is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.