29/06/2021
👥 Back-end Python Engineer / Machine Learning Engineer
🤑 15 000 - 23 500 PLN net/month - B2B
📫 [email protected]
🌍 remote
Responsibilities:
💡 Massive data: You will source / examine, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers
💡 Production deployment: You will be responsible for integration and deployment of the machine learning pipelines into production where your ideas will come to life
💡 Linux hacking: You will be masterfully using the command line, including tools like grep, bash, awk, sed, automake, etc.
💡 Pushing the limits: This role will be on the cutting edge of our Data / Machine Learning platform. As we push to solve more of our ML/AI challenges, you will be prototyping new features, tools and ideas. Innovate at a very fast pace to maintain our competitive edge
💡 Standardization: You will be fully involved in optimization of various process and coming up with a standardization of various approaches in solving problems
💡 Collaboration: Coordinate and work with cross functional teams, sometimes located at different geo locations
Required:
💡 CS fundamentals: B.S. in Computer Science, or related degree but most importantly you have a strong ethos of continuous learning
💡 Software engineering: 5+ years of professional software development experience using Python, with version control (GIT) for production purposes, with good analytical & debugging skills. Experience with ML packages like pandas, numpy, scikit-learn, pytorch
💡 Machine Learning: 2+ years of experience with machine learning modeling, creating prototypes and evolving them into full-fledged products that are served in production environments. Understanding of main concepts like classification, regression, time series, NLP, anomaly detection, clustering and other common problems
💡 Natural Language Processing (NLP) focus.
💡 Environments: You have worked in at least one cloud environment like Azure (preferred), AWS or other cloud data platforms. Understanding of different cloud components to build ML solutions
💡 Infrastructure operations: Experience in DevOps, IaaC. We’re using Terraform
💡 Data Modeling: Experience and expertise in SQL is a must. Flair for data, schema, data model, how to bring efficiency in data modeling for efficient querying data for analysis, understands and develops data validation techniques
💡Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA
💡 Fluent English
Who are we?
Untrite helps unlocking and making sense of all siloed know-how, clipping it together to give the whole picture for the actionable solution. Our AI-powered platform understands everything it reads and extracts what matters. Together with our partners, we’re building an ecosystem that sits at the heart of the knowledge economy, from customer service to security and risk management. Organisations now get a better view of their data in real time to make more informed decisions, faster. 💡
