Machine Learning Engineer
hace 3 meses
Overview:
**About Pwrteams**
Join our fast-growing and diverse team at Pwrteams, where we provide premium IT and engineering nearshore solutions to our global customers. Since 2007, we pursue to become the market leader in assembling cross-border IT and engineering teams for customers. Our operations are strategically positioned within Eastern Europe’s dynamic tech ecosystems, from where we cater the global business landscape.
We’re at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To connect interesting customer projects and skilled talent alike. Become a part of our team and take the next step on your personal career journey.
**About our client**
**About the project**
You'll get a chance to work on a graphical editor that allows millions of people to create custom and hand-made pieces of art. This project is not about plain code, it's about bringing change and making life more colourful, so don't stand by and applyAs 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
- 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
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