Data Scientist
Bosnia and Herzegovina, Bulgaria, North Macedonia, Slovenia, Romania, Hungary, Serbia
Applications have closed
Capabilities
Machine Learning (ML) role description includes abilities and key strengths that a ML should possess:
- Demonstrates proficiency in designing and delivering robust and scalable distributed systems in production.
- Proficient with building a model, dataset selection, featurization, loss function selection, hyperparameter optimization.
- Worked on solution delivery to customers.
- Worked with geospatial data.
- Creates pragmatic technical documentation with well-understood diagrams.
- Demonstrates good social skills (soft skills), English proficiency, and ability to explain technical points using business language and presentations.
Nice to have
- Proficient with at least one of the ML libraries - TensorFlow, PyTorch, Keras, etc.
- Strives for constant improvements in solution design.
- Keeps track of new technology trends.
- Understands physical modelling of the real-world objects.
Responsibilities
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Verifying data quality, and/or ensuring it via data cleaning
- Supervising the data acquisition process if more data is needed
- Finding available datasets online that could be used for training
- Analyzing the errors of the model and designing strategies to overcome them
- Creates high-level design and dives into low-level implementation details when appropriate.
- Drives technical quality of a solution and manages technical debt.
- Ensures that the solution is well documented with an appropriate architecture decision log.
- Drives technical investigation (Spike) and prototyping (PoC), taking a hands-on approach for the most critical parts.
- Provides guidance and assistance through communication and collaboration with engineering teams, product teams, and stakeholders in all project phases.
Tags: Distributed Systems Engineering Keras Machine Learning Prototyping PyTorch TensorFlow
Region:
Europe
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Category:
Data Science Jobs
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