Overview

Job description

We are looking for a Machine Learning Engineer to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by developing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

– Build Machine Learning platform and services to support major AI and Data Science use cases
– Manage the ML lifecycle, including data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment and end-to-end workflow management
– Enable ML and Deep Learning capabilities at vast scale by developing the necessary systems, tools, technologies and integrations as part of the ML Platform offering
– Help accelerate the velocity from idea to interference in production
– Contribute to capabilities around data programming, data augmentation (transformation function), active learning (slicing function) for training data, and transfer learning
– Engineer the de-bias, ethics, security and compliance aspects of ML pipelines, centralized feature store, model metastore, and inference metrics store etc.
– Work with partners and stakeholders to identify data acquisition opportunities, create requirements, transform large volume data into AI ready high quality relevant datasets
– Achieve quality ML data using a triad of people, process & technology
– Identify, assess and implement 3rd party technologies that may complement Stats Perform capabilities, and accelerate advancement of critical features; maintain strong collaborative relationships with 3rd party technology providers

Requirements

– 3+ years of relevant industry experience in Data & analytics platform or machine learning and data science
– Bachelor’s degree in Engineering, Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM fields
– Verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders
– An open minded, structured thinker
– A team player and consensus builder
– Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritize an approach for maximum impact
– Experience in projects involving large scale multi-dimensional datastore, complex business infrastructure, and cross-functional teams, and track-record of successfully launched ML projects in production
– Hands on experience with building enterprise grade machine learning and data platforms
– Familiarity with common machine learning algorithms (random forest, XGBoost, etc.)
– Familiarity with advanced ML techniques (neural networks/deep learning, reinforcement learning, active learning, data augmentation and GAN etc.)
– Experience with high-level programming languages and big data tools and ecosystems
– In-depth working knowledge of cloud infrastructure such as AWS or Google Cloud
– Experience in integrating with internal and external complex systems that are able to scale and demonstrate security, reliability, scalability, and cost efficiency

Benefits

* Time for self-development at work
* Internal Workshops
* Senior Working Groups
* Private medical healthcare program
* Group insurance
Multisport
* Flexible work hours
* Work from home possibility
* Breakfasts and fruits throughout the week
* “Need-Break” Room with PlayStation and table soccer

Note for candidate

Send us your CV in English and Czech if you have one.

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