ML Engineer (Computer Vision) (#2424)

2 Months ago • 2 Years + • Artificial Intelligence • Undisclosed

About the job

Job Description

This role involves developing and deploying state-of-the-art machine learning models for image-based tasks like image generation and recommender engines. Responsibilities include analyzing large datasets, experimenting with different architectures and techniques to improve model performance, collaborating with cross-functional teams, staying updated on the latest advancements in ML and computer vision, troubleshooting model issues, integrating models into production systems using CI/CD pipelines, and documenting research findings. The ideal candidate will have 2+ years of experience in developing and deploying deep learning models, strong programming skills in Python (PyTorch preferred), experience with image processing and computer vision libraries, and familiarity with AWS infrastructure.
Must have:
  • 2+ years experience in developing and deploying deep learning models
  • Strong Python programming skills (PyTorch preferred)
  • Experience with image processing and computer vision libraries
  • Familiarity with AWS infrastructure
  • Analyze and preprocess large datasets
  • Improve model performance through experimentation
  • Collaborate with cross-functional teams
  • Integrate models into production systems
Good to have:
  • Experience with other deep learning frameworks (TensorFlow, Keras)
  • Knowledge of GNNs
  • Proficiency with NumPy, Pandas, scikit-learn
Perks:
  • Flexible working format (remote, office, or hybrid)
  • Competitive salary and compensation package
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events and team buildings

We are seeking a talented and experienced Machine Learning Engineer specializing in image-based networks to join our dynamic team.

As a Machine Learning Engineer, you will play a pivotal role in developing and deploying state-of-the-art models and algorithms for tasks such as image generation, recommender engines, prediction models, and more. Your work will directly contribute to advancing our cutting-edge machine learning capabilities.

Responsibilities:

  • Analyze and preprocess large-scale datasets for training and evaluation purposes.
  • Experiment with different architectures, loss functions, and data augmentation techniques to improve model performance.
  • Collaborate with cross-functional teams to define project requirements and deliver innovative solutions.
  • Stay up-to-date with the latest advancements in machine learning and computer vision, and apply them to solve complex problems.
  • Troubleshoot and debug issues related to model training, performance, and scalability.
  • Integrate the training software into our continuous integration cluster to support metrics persistence across experiments, weekly/nightly neural network builds, and other unit / throughput tests.
  • Collaborate with software engineers to integrate machine learning models into production systems.
  • Document research findings, experiments, and algorithms in technical reports and presentations.

Qualifications:

  • Proven industry experience (2+ years) in developing and deploying deep learning machine learning models.
  • Solid understanding of deep learning concepts, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and/or graph neural networks (GNNs).
  • Strong programming skills in Python, including proficiency in one or more deep learning frameworks (TensorFlow, PyTorch, Keras). PyTorch preferred.
  • Experience with image processing techniques, computer vision libraries (OpenCV), and related tools.
  • Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.)
  • Ability to preprocess and manipulate large datasets using tools such as NumPy, Pandas, and scikit-learn.
  • Knowledge of software engineering principles, including version control (Git) and agile development methodologies.
  • Excellent problem-solving skills, with the ability to work on complex machine learning challenges independently.
  • Strong written and verbal communication skills, with the ability to effectively collaborate with team members and present findings to stakeholders.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
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About The Company

Medellín, Antioquia, Colombia (Hybrid)

Ukraine (Remote)

Colombia (Remote)

Colombia (Remote)

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