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Machine Learning Engineer
hace 1 mes
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**:
- Analyse 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.
- 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
