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Lead Data Scientist

Media Press

  • Poznań

    Poznań, Greater Poland
  • offer expired 16 days ago
  • contract of employment
  • full-time
  • specialist (Mid / Regular)
  • full office work, home office work, hybrid work
  • remote recruitment

Technologies we use

Expected

  • Python

  • Azure SQL

  • PostgreSQL

  • Docker

Operating system

Your responsibilities

  • Data exploration to provide insights needed for data-driven decision-making,

  • Knowledge-base management and mining to semantically organized information about thecontent,

  • Application of Computer Vision algorithms to visual content enrichment including image segmentation, object detection, style transfer, and classification,

  • Application of Natural Language Processing methods to organize, enrich and analyse content descriptions including text classification, summarization, sentiment detection, and ranking,

  • Application of machine learning and NLP algorithms to streamline the printing process by analysing and organizing the printing rules and text-tailoring to match printing standards.

  • Managing a team of AI engineers to develop new and maintain deployed AI models,

  • Communicate with core product developers and business to understand the business needs to provide suggestions for new AI solutions,

  • Understanding our edition process and suggesting new AI solutions to streamline them

  • Supervision of programming standards and adherence to good developmental practices (testing, documentation, integration)

Our requirements

  • EXPERIENCE: Senior/Lead, at least 3-4 years of professional experience, incl. at least 1- year managerial experience

  • SKILLS:

  • Practical experience with at least two of the following AI domains: data analysis, natural language processing, computer vision,

  • Ability to manage a team of machine learning engineers developing solutions tailored to business needs according to Agile principles

  • A deep understanding of statistical concepts and the ability to construct models of a real-life phenomenon

  • Data preparation, including exploratory analysis, data cleansing, and normalization

  • Knowledge of Machine Learning methods, including clusterization, dimensionality reduction, classification, regression

  • 2-3 years of experience in deployment and maintenance of a deep learning models

  • Working experience with SQL

  • Familiarity with implementing OOP practices,

  • Organizational, interpersonal, and managerial skills

  • TECHNOLOGIES:

  • Proficiency in Python including sklearn, numpy, pandas, PyTorch (or tensorflow), matplotlib, seaborn

  • Familiarity with data analysis/ IDE tools such as Jupyter notebooks; pyCharm

  • An experience with cloud-computing environments, e.g., Azure (preferred) or AWS

  • Fluency in one of the database systems (e.g., PostgreSQL)

  • Ability to set up containerised environments (e.g., Docker, conda)

  • Good knowledge of git, bash, and Linux.

Optional

  • Experience with analysis of rule-based automation systems,

  • Interest in multi-language NLP models

  • Working use-cases of deployed ML/DL models

  • Familiarity with Kubernetes

  • Model deployment with MLFlow, KubeFlow, PyTorch Lightning

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • fruits

  • coffee / tea

  • extra social benefits

  • employee referral program

About a Job:

You will lead a team that aims at using artificial intelligence and data science to explore and

organize our enormous content database, which will enable finding the most actual information and structuring it in a semantically meaningful way. You will supervise the development of Computer Vision algorithms to produce visually pleasing graphical elements served to hundreds of publishers and broadcasters all over the world. Finally, your team will employ natural language processing (NLP) and machine learning to streamline the work of our experienced editors and help produce content that matches established printing standards that our customers love and appreciate.

As a leader of the team, you will be responsible for managing a team of ML engineers that will develop and perform maintenance of artificial intelligence models that are crucial for our mission. You will be also responsible for the exploration of our data and in-house company processes to suggest ideas for new potential solutions and streamline the existing workload. You will work closely with our core product developers and business management to help in the transition of Media Press to an AI-driven company.

Media Press

Media Press is a company whose mission is to serve meaningful descriptions (meta-data) of content to publishers and broadcasters so that it is best suited to their audience's needs. It is a place where visual design mastery meets a print’s craftsmanship to serve visually pleasing and factually correct information that will help viewers to make up their minds.

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