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Senior Machine Learning Engineer - Computer Vision

WhatJobs Direct

Tampa · On-site Full-time Senior 2w ago

About the role

About

Our client is at the cutting edge of AI development and seeks a highly skilled Senior Machine Learning Engineer specializing in Computer Vision to join their innovative team. This role is crucial for designing, building, and deploying sophisticated machine learning models that interpret and process visual data. You will work on challenging problems, contributing to groundbreaking projects that push the boundaries of what's possible with AI. This position requires a deep understanding of deep learning frameworks, computer vision algorithms, and the ability to translate complex research into production-ready solutions.

Responsibilities

  • Develop and implement state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and image generation.
  • Design, train, and evaluate deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
  • Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
  • Collaborate with research scientists and software engineers to integrate ML models into product pipelines and applications.
  • Optimize model performance for speed, accuracy, and efficiency, considering deployment constraints.
  • Conduct rigorous experimentation and validation to ensure the robustness and reliability of ML solutions.
  • Stay abreast of the latest advancements in machine learning, deep learning, and computer vision research.
  • Contribute to the team's technical roadmap and strategy for AI development.
  • Mentor junior engineers and share knowledge within the team.
  • Document code, models, and experimental results thoroughly.
  • Participate in code reviews and contribute to maintaining high-quality engineering standards.

Requirements

  • The ideal candidate will possess a strong academic background in computer science, machine learning, or a related field, coupled with significant practical experience in building and deploying ML systems.
  • Excellent programming skills in Python and proficiency with ML libraries are essential.
  • A strong understanding of software engineering principles, including version control, testing, and CI/CD, is also required.
  • This role involves significant collaboration, so strong communication and teamwork skills are paramount.
  • You should be comfortable working with complex datasets and tackling challenging research problems.
  • The ability to work effectively in a fast-paced, innovative environment is key.
  • We are looking for a proactive individual who is passionate about AI and eager to make a tangible impact on the products and services our client offers.

Location Highlight

  • This impactful role is based in our client's state-of-the-art facility in Tampa, Florida, US .

Requirements

  • Strong academic background in computer science, machine learning, or a related field.
  • Significant practical experience in building and deploying ML systems.
  • Excellent programming skills in Python.
  • Proficiency with ML libraries.
  • Strong understanding of software engineering principles, including version control, testing, and CI/CD.
  • Strong communication and teamwork skills.
  • Comfortable working with complex datasets and tackling challenging research problems.
  • Ability to work effectively in a fast-paced, innovative environment.
  • Proactive individual who is passionate about AI and eager to make a tangible impact.

Responsibilities

  • Develop and implement state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and image generation.
  • Design, train, and evaluate deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
  • Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
  • Collaborate with research scientists and software engineers to integrate ML models into product pipelines and applications.
  • Optimize model performance for speed, accuracy, and efficiency, considering deployment constraints.
  • Conduct rigorous experimentation and validation to ensure the robustness and reliability of ML solutions.
  • Stay abreast of the latest advancements in machine learning, deep learning, and computer vision research.
  • Contribute to the team's technical roadmap and strategy for AI development.
  • Mentor junior engineers and share knowledge within the team.
  • Document code, models, and experimental results thoroughly.
  • Participate in code reviews and contribute to maintaining high-quality engineering standards.

Skills

Computer VisionKerasMachine LearningObject DetectionPythonPyTorchTensorFlow

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