Machine Learning Architect (offline)

Your skills and expertise:
• MS/PhD degree in computer science or related
• Deep knowledge and proven practical experience in a relevant field of research, such as machine learning, computer vision, speech processing, natural language processing, and data science
• Solid Experience architecting and developing AI and machine learning applications
• Strong understanding of machine learning algorithms and deep networks (CNN, DBN, RNN, LSTM, DCN)
• Proficiency in SOLID and Systems Architecture design approaches
• Strong knowledge in machine learning fundamentals i.e. regression models, decision trees, naïve Bayes, clustering algorithms (k-means, DBSCAN, SOM), dimensionality reduction (PCA, t-SNE) and a good grasp of the strengths and weaknesses of specific approaches. A good foundation in basic statistics and linear algebra
• Strong Python knowledge
• Experience implementing DL algorithms in high-level languages (e.g. Python, C++)
• Experience using machine learning toolboxes and libraries (e.g. TensorFlow, PyTorch, Keras or MXNet)
• Comprehensive knowledge of the Python data analyses ecosystem (Pandas, Numpy, Scikit-learn, etc.)
• At least minor experience with python visualization tools (matplotlib/seaborn, Plotly)
• Experience with following modern neural network architectures: LSTM and other RNN-based, ResNet and other CNN-based, Autoencoders, U-Net, GANs and VAE
• Superior presentation, communication, and interpersonal skills
• Accomplished estimation and people motivation skills
• Ability to talk both technical language and the language of business stakeholders
• Upper-intermediate level of English mandatory

Will be a plus:
• Experience with R, C++
• Familiarity with time-series predictive/anomaly detection analyses, natural language processing, signal processing
• Understanding SOTA approaches for machine learning problems like unsupervised/ semi-supervised learning.
• Experience with the following DL frameworks: DLib, Darknet, Theano
• Awareness of CRISP-DM process model
• Experience with continuous integration and release management tools, preferably within the AWS platform.
• Hands-on Experience with the common architecture of MLOps system by the means of Hadoop, Docker, Kubernetes, cloud services and experience with managing production ML lifecycle
• Experience with distributed training on GCP
• Experience with full stack applications with Microsoft Azure platform is a big plus

About CHI Software

CHI Software is the development center, based in Kharkiv, with representatives in Dnipro and Kiev (Ukraine), Israel and California. We’ve started off as a small web design studio. Nowadays, we have complex in-house expertise in different business domains and industries to offer.

Our development team includes the following departments: web design, JavaScript, .Net, PHP, Ruby, Python, Java, C++, Mobile (Android and iOS), DevOps and QA. For a proper support, we have also trained a team of BI, BA and Project Managers who can join the project at any stage.

We constantly keep up with the current technology trends: AI, Machine Learning, Computer Vision, AR/VR, continuous delivery, Blockchain, and cloud solutions integration, of course.и.

Company website:
https://chisw.com