Caden is hiring a

Senior Machine Learning Engineer

Job Overview

  • Posted 2 months ago
  • Full Time
  • New York, NY, USA
  • 160000

Roles & Responsibilities

This position will report to the Lead Data Scientist and will be an integral part of the Data & AI organization. You will be responsible for leading a team of data scientists, data engineers and machine learning engineers to bring our AI and Data Science vision to life. Your expertise will drive the development and enhancement of our products/services that will generate business value to our business, clients and our users.

What You’ll Do

  1. ย Participate in strategic planning and be responsible for building and scoping the ML roadmap and its execution.
  2. Regularly present ideas and solutions to executive leadership as well as external stakeholders.ย 
  3. Contribute to the development of ML and AI products that address clients business challenges and needs.
  4. Stay updated with the latest research and advancements in machine learning and AI to identify opportunities to apply them to enhance our products/services.
  5. Combine traditional ML methods with latest AI advancements and our Knowledge
  6. Graph (Ontology) that is central to our platform and AI capabilities.
  7. Design and implement innovative machine learning algorithms that solve complex problems and provide actionable insights.
  8. Apply advanced statistical and ML techniques to analyze large and complex data sets, extracting meaningful patterns and to enrich the quality and coverage of our data.
  9. Ensure proper DataOps andย MLOpsย practices are implemented so that data pipelines are efficient, reliable, and optimized for machine learning tasks.
  10. Develop and maintain a deep understanding of industry trends, emerging technologies, and best practices in machine learning and data science.
  11. Communicate technical findings and insights to both technical and non-technical stakeholders in a clear and effective manner.
  12. Collaborate with cross-functional teams to integrate machine learning models into production systems and monitor their performance.
  13. Ensure compliance with data privacy and security regulations in all data science and machine learning initiatives.

Skills Required

  • Machine Learning
  • Python

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