Nortal invites skilled Machine Learning Engineer for long-term and full-time employment.
Our client makes smart cutting machines that work with an easy-to-use app, an ever-growing collection of materials, and crafting essentials to help you design and personalize almost anything — custom cards, unique apparel, everyday items, and so much more.
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, image segmentation, stylized text extraction, and more. Your work will directly contribute to advancing our cutting-edge computer vision technologies.
- Analyze and preprocess large-scale image 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 ununit/throughputests
- Collaborate with software engineers to integrate machine learning models into production systems
- Document research findings, experiments, and algorithms in technical reports and presentations
- Mentor junior team members and contribute to a collaborative and knowledge-sharing culture
- 3+ years of experience in developing and deploying machine learning models for image-based networks
- Solid understanding of deep learning concepts, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)
- 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
- Experience with generative adversarial networks (GANs) and image-to-image translation
- Familiarity with natural language processing (NLP) and text extraction techniques
- Knowledge of transfer learning and domain adaptation for computer vision tasks
- Understanding of containerization technologies (Docker) and distributed computing frameworks (Kubernetes)
- 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
- Motivated to take projects from R&D to production
- Upper-intermediate or higher level of spoken and written English
- Family-like environment and personal attention to each specialist
- Direct cooperation with European and USA clients and their innovative products
- Competitive salary and regular reviews
- The work-life balance you deserve: 24 working days of paid vacations
- Educational reimbursement, funded language classes, certifications
- "Benefit Cafe with various categories like sport, leisure, books, fuel, etc.
- Health care: 10 paid sick leaves, on-demand medical insurance, Covid tests, vaccinations
- Cozy workplace, commute compensations, and WFH opportunities
- Exciting events and lovely gifts for your family
On-demand Relocation Support to Poland
- Receive all documentation needed for relocation
- Obtain transport, logistics and onboarding assistance
- Get accommodation support
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