Data Science & AI

• Fluency in at least one programming language (C/C++, Python, Julia)
• Strong programming skills utilizing Scikit-learn, OpenCV, Keras and/or Tensorflow libraries, PyTorch framework
• OOP experience
• Experience in image processing, including traditional statistical methods and feature extraction approaches
• Familiarity with a broad set of supervised and unsupervised ML-based solutions to image or signal processing
• Strong analytical, creative problem-solving skills, and experience with fast prototyping of a minimum viable product
• Experience in implementing real-time machine learning and computer vision algorithms in large scale environments

• 2+ years hands-on work experience in NLP in the industry
• Comprehensive knowledge of machine learning and deep learning
• In-depth knowledge of at least one of the major frameworks (TensorFlow/PyTorch)
• High proficiency in Python
• Relevant degree in Computer Science or equivalent industry experience

4+ years of shown hands-on experience with design, implementation and application of ML/AI/Deep Learning and OR solutions and techniques to build models that solve real problems.
2+ years hands-on experience in optimization modeling, simulation and analysis with Python or Matlab.

Experience analyzing machine data (sensors, downtime log, machine states, etc) for IoT & predictive maintenance applications.

Experience applying deep learning frameworks, such as PyTorch/ Torch, TensorFlow, Keras to real-world applications that solve problems.

Knowledge of validated approaches for scale-ability, productionalizing models and implementing machine learning applied to expansive and diverse datasets (storage GPUs, techniques for deep learning at scale).

Strong software development skills with proficiency in Python.

Experienced user of machine learning and statistical-analysis libraries, such as GraphLab Create, scikit-learn, scipy, and NLTK.

2+ years of data science experience
background in Statistics, Computer Science, Machine Learning, Mathematics
knowledge and experience with Python 3

Data scientist with 5+ years of experience
Solid understanding of Statistics, Machine Learning and Deep Learning
Hands-on experience in Python
Experience with Recommender Systems (Content-Based, Collaborative Filtering, Hybrid, Market Basket Analysis, Repeat Purchase)
Experience with look-alike modeling and sequential-input models, RNNs (LSTM, GRU, etc.)
Expertise in building, productionising and scaling analytics solutions for big data problems
Experience with SQL databases
Familiarity with cloud ML Platforms (Google AI Platform, Amazon Sagemaker, MS Azure AI Platform) is a plus.
Hands-on experience with data preparation, cleansing, feature engineering, and visualization
Great communication and presentation skills. Proven ability to present progress made by the team to senior business management and the project stakeholders.
Understanding of and experience with customer intelligence & marketing domains a plus.
Experience in working across different global cultures a plus

• Strong mathematical background
• Experience with NLP and/or time series analysis
• Knowledge of state-of-the-art DL libraries
• Knowledge of Python (pandas, numpy, scipy, nltk, spacy)
• Ability to communicate in English on technical topics

• Senior Data Scientist with 4+ years of experience in analytics
• ​Experience with Neural Networks, Deep Learning, Computer Vision
• Experience with Search (Semantic Search
• Great communication and presentation skills. Proven ability to present progress made by the team to senior business management and the project stakeholders.
• Experience in working across different global cultures is a plus.

• 3+ years of ML experience
• Experienced at Python3.
• Strong problem-solving skills with an emphasis on product development.
• Proven experience in industrial production projects.
• The ability to work on several projects in parallel

• hands-on machine learning and engineering in one of the following:
• open-source libraries (TF, PT, scikit-learn, etc)
• managed solutions (AWS, GCP, Azure)
• custom (implementation of the algorithms from scratch)
• hands-on machine learning models debugging preferred:
• training process visualization (i.e. Tensorboard)
• experiments handling (i.e. Weights and Biases)
• advanced English
• documentation development
• coaching and support
• in-depth general machine learning knowledge
• in-depth knowledge in one of the specific ML-related technologies
• CV / NLP / Time Series / Recommender Systems / Optimal Control / DSP / Advanced analytics / Statistics / Numerical Optimization / Bayesian Modeling
• domain expertise (preferably in our niches)
• machine learning delivery (preferably in our domains) (>5 years)
• independent contractor (>2 projects >10k)
• bachelor degree in Mathematics / Computer Science / Statistics or related fields (>4 years)

• Experience in Machine Learning from 2 years;
• At least half a year of expertise with Android;
• Skills with Python / C++ / Java / Kotlin;
• Experience with Deep Learning (TensorFlow, PyTorch);
• Higher technical education;
• Technical English (higher level is advantage).