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Machine Learning Engineer with AI Expertise

Tower Research Capital LLC

Montreal · On-site Full-time Mid Level 1w ago

About the role

## Full Description

Job Overview

Tower Research Capital LLC is a dynamic and innovative firm seeking an experienced Machine Learning Engineer to join its team. As a key member of the organization, you will be responsible for designing, implementing, and deploying large scale deep learning models that drive business success.

About the Role

We are looking for a skilled professional with extensive experience in training, building, and deploying complex AI models. Your expertise in sequence and time series models, along with proficiency in Python and popular frameworks like PyTorch and TensorFlow, will be invaluable assets to our team.

Responsibilities

- Design and implement large scale deep learning models using cutting-edge techniques and tools

- Collaborate with cross-functional teams to develop and deploy AI solutions that meet business objectives

- Develop and maintain high-quality codebase, ensuring optimal performance, scalability, and maintainability

- Stay up-to-date with industry trends and advancements in machine learning, sharing knowledge with the team to drive innovation

Requirements

- Bachelor's or Master's degree in Computer Science, Engineering, or related field

- Minimum 5 years of experience in machine learning engineering, with a focus on large scale model deployment

- Strong understanding of Linux, SQL, Git, and BASH scripting

- Proficiency in Python and hands-on experience with popular deep learning frameworks like PyTorch and TensorFlow

- Excellent problem-solving skills, with ability to work independently and collaboratively as part of a team

Benefits

- Competitive salary and discretionary bonuses

- 5 weeks of paid vacation per year

- Free breakfast, lunch, and snacks daily

- Reimbursement for health and wellness expenses

- Opportunities for professional growth and development in a dynamic and innovative environment

Company Culture

Tower Research Capital LLC values quality of life and provides a unique workplace culture that prioritizes employee well-being. Our cubicle-free office features jeans-clad coworkers and well-stocked kitchens, reflecting our commitment to work-life balance.

What We Offer

- Opportunity to work with a talented team of professionals in the field of artificial intelligence

- Flexible work arrangements and remote work options available

- Access to cutting-edge technologies and tools for professional development and growth

- Regular opportunities for feedback and recognition of outstanding contributions

Equal Opportunity Employer

Tower Research Capital LLC is an equal opportunity employer, committed to diversity and inclusion in the workplace.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Minimum 5 years of experience in machine learning engineering, with a focus on large scale model deployment
  • Strong understanding of Linux, SQL, Git, and BASH scripting
  • Proficiency in Python and hands-on experience with popular deep learning frameworks like PyTorch and TensorFlow
  • Excellent problem-solving skills, with ability to work independently and collaboratively as part of a team

Responsibilities

  • Design and implement large scale deep learning models using cutting-edge techniques and tools
  • Collaborate with cross-functional teams to develop and deploy AI solutions that meet business objectives
  • Develop and maintain high-quality codebase, ensuring optimal performance, scalability, and maintainability
  • Stay up-to-date with industry trends and advancements in machine learning, sharing knowledge with the team to drive innovation

Benefits

Competitive salary and discretionary bonuses5 weeks of paid vacation per yearFree breakfast, lunch, and snacks dailyReimbursement for health and wellness expensesOpportunities for professional growth and development in a dynamic and innovative environment

Skills

PythonPyTorchTensorFlowLinuxSQLGitBASH scriptingMachine learningDeep learning

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