The CHI team is looking for a Machine Learning Architect.
Our client – Shipping & Transportation/USA.
Project – The RPA solution for the worldwide company offers industry-leading shipping services, including transportation, warehousing, distribution, custom brokerage, and logistics management

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 a development center, based in Kharkiv, Ukraine with representative offices in Ramat Gan (Israel) and Los Angeles (California, the US). We started off as a small web design studio in 2006.
Now we have a team of 500+ experts and complex in-house expertises in different business domains and industries to offer. CHI Software delivers both outsourcing and outstaffing services to startups and reputed companies worldwide.

Our development team includes the following departments: web design, JavaScript, .NET, PHP, Ruby, Python, Java, C++, Mobile (Android and iOS), DevOps and QA, and we also have a great team of BI, BA and Project Managers.

We constantly keep up with the current technology trends, developing Big Data, IoT, Machine Learning, Computer Vision, AR/VR, Cloud (AWS, Azure) solutions.

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