Position: Machine Learning Engineer
Company: Grid Dynamics
Category: Data Science
Experience required: 3y
English level: upper

Details on tech stack:
– Google Cloud Platform
– BigQuery, BigQueryML, AutoML
– Dataflow
– Jupyter Notebook / Lab
– Vertex AI
– A modern scripting language of your choice like Python
– Git, GitHub, GitLab

Min requirements to the candidate
– Google Cloud Platform
– BigQuery
– Python or a scripting language alike

Nice to have requirements to the candidate
– 4-6 years of relevant work experience
– Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
– Experience in effective data engineering practices and big data platforms such as BigQuery, Datastore, DataFlow, spark, etc
– Experience with Feature Engineering and Feature Stores
– Experience in algorithms such as clustering, forecasting, anomaly detection, and neural networks
– Experience in basic statistics and regression algorithms
– Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization
– Experience in training machine learning models with extremely large datasets
– Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, Scikit-learn, tensorflow, pytorch, keras, etc.
– Experience with GPU acceleration (i.e. CUDA and cuDNN)
– Experience with knowledge graph technologies and techniques
– Experience in a modern scripting language (preferably Python)
– Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
– Experience in defensive coding practices and patterns for high availability
– Experience in A/B and/or multi-armed bandit testing
– Experience in writing SQL queries against a relational database
– Experience in NoSQL databases
– Experience in version control systems (preferable Git)
– Experience in a Linux or Unix based environment
– Experience in a CI/CD toolchain
– Experience in REST and effective web service design