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Deep Learning Director

Fetcherr

Fetcherr

Israel
Posted on Sunday, June 9, 2024

Deep Learning Director

  • AI
  • Israel
  • Full-time

Description

Deep Learning Director

We are seeking a talented Deep-learning director to help us advance our deep-learning capabilities.

The ideal candidate should be a self-driven, motivated, and independent thinker who is passionate about using data and machine learning to drive business outcomes.

Responsibilities:

  • Develop and implement cutting-edge deep-learning models and algorithms for demand forecasting applications.
  • Conduct research and experimentation to identify and evaluate new approaches for improving model accuracy and performance.
  • Collaborate with cross-functional teams, including business stakeholders, data engineers, and software developers, to deploy and maintain machine learning systems in production.
  • Mentor and train junior team members, promoting best practices and fostering a culture of continuous learning and improvement.
  • Communicate technical findings and insights to non-technical stakeholders, including executives and other decision-makers.

Requirements

Must have:

  • 4+ years of hands-on experience in deep learning.
  • Degree in Computer Science, Statistics, or related quantitative field, Ph.D. Preferable.
  • 3 years of demonstrated experience in a leadership or management role.
  • Experience in leveraging deep learning and machine learning in domains such as finance/trading, reinforcement learning, or natural language processing.
  • Experience with DL frameworks for convenience, such as PyTorch Lightning or DL-Catalyst
  • Experience building tabular machine learning models using gradient boosting methods and deep learning.
  • Strong understanding of machine learning systems in production, including good coding practices for testing, reproducibility, and version control.
  • Knowledge of alternative training time model compression techniques as well as large-scale AutoML pipelines for Neural Network Architectural Search
  • Excellent written and verbal communication skills.

Nice to have:

  • Published papers, patents, or professional posts.
  • Experience with MLOps and cloud platforms like GCP.
  • Experience with workflow orchestration tools like Apache Airflow or Dagster to schedule and monitor deep-learning workflows.
  • Strong data visualization and data analysis skills.
  • Knowledge of code optimization, cloud computing, containerization, and continuous integration/continuous deployment (CI/CD) pipelines.
  • Competitive programming and data science (Kaggle like) exp