sharing the costs of sports activities
Pracodawca zakończył zbieranie zgłoszeń na tę ofertę
Aktualne oferty pracodawcyPracodawca zakończył zbieranie zgłoszeń na tę ofertę
Aktualne oferty pracodawcyData Science Solution Architect
Addepto
Lubusz
Lubusz- offer expired over a month ago
- contract of employment, B2B contract
- full-time
- senior specialist (Senior), expert
- home office work, hybrid work
- Immediate employment
- remote recruitment
- запрошуємо працівників з України
Запрошуємо працівників з України
Роботодавець відкритий для працевлаштування громадян України
Technologies we use
Expected
Python
Pandas
scikit-learn
Keras
PyTorch
TensorFlow
AWS
SQL
Git
Optional
Kubernetes
Docker
Spark
MLFlow
NoSQL
CI/CD
About the project
For our team based in Warsaw and remotely, we are looking for a Data Science Solution Architect focusing mainly on creating and managing data architectures and machine learning models.
Some of our recent AI projects:
- Computer Vision System for store compliance analysis for one of the top USA retailer
- NLP system for privacy policy analysis for global tech startup
- Computer Vision System for airport digital twin solution for a multinational aerospace company
-Optimization System of maritime logistics for the biggest aluminium producer
- Loan Scoring System using deep learning algorithms for fin-tech startup
- Advanced Recommendation System for the global retailer
And more!
Your responsibilities
Applying your expertise in Machine Learning, Computer Vision, Predictive Modelling, Data Engineering, MLOps to deliver impactful, objective, and actionable solutions that enable business decisions
Working as a key member of the Data Science and Data Engineering Team to support the timely and efficient delivery of critical deliverables
Overseeing projects from a Data Science and Data Engineering perspective, suggesting best models, architectures, practices and standards
Creating and managing data architectures and machine learning models
Preparation of Data Science recommendations and solution architectures
Creation and implementation of Machine Learning / Deep Learning algorithms
Collecting business requirements and planning the tasks of the team working at Agile / Scrum
Building AI applications and cooperation with Data Engineering and Software Engineers
Taking part in the recruitment process of new engineers
Our requirements
Higher education: Computer Science, Mathematics, Physics, or related fields
Commercial experience in Machine Learning (Predictive modelling, NLP, Computer Vision) or Data Engineering
Experience in designing and implementing Machine Learning solutions using Python (pandas/scikit/Keras/PyTorch/TensorFlow)
Experience with data manipulation techniques (ETL, data preparation, data wrangling)
Experience with Cloud (preferably AWS)
Proficiency in SQL, Git
Critical thinking, attention to detail and problem-solving abilities
Strong communication and presentation skills
Very good knowledge of English (min. B2)
Optional
Good to know: Kubernetes, Docker, Spark, MLFlow, NoSQL, CI/CD, BI tools
This is how we organize our work
This is how we work
- in house
- you can change the project
- you have influence on the technological solutions applied
- you develop the code "from scratch"
- you focus on code maintenance
- agile
- scrum
Team members
- technical leader
- big data developer
- data scientist
- project manager
Development opportunities we offer
conferences abroad
conferences in Poland
development budget
external training
intracompany training
substantive support from technological leaders
support of IT events
technical knowledge exchange within the company
time for development of your ideas
What we offer
Work in a well-coordinated team of passionate enthusiasts of Big Data & Artificial Intelligence
Fast career path and opportunity to develop your qualifications thanks to sponsorship for trainings, conferences and many other development possibilities in various areas
Challenging international projects for global clients and innovative start-ups
Friendly atmosphere, outstanding people and great culture – autonomy and supportive work environment are crucial for us
Flexible working hours – you can adjust your schedule to better fit your daily routine
Work-life balance – we respect your private life so you don’t have to work overtime or on weekends
Possibility of both remote and office-based work – modern office space available in Warsaw, Cracow, Wroclaw, Bialystok or coworking space in any place in Poland if needed
Any form of employment – we offer B2B, employment contract or contract of mandate
Paid vacation – 20 fully paid days off if you choose B2B or contract of mandate
Other benefits – e.g. great team-building events, language classes, trainings & workshops, knowledge sharing sessions, medical & sports package, and others
Benefits
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
remote work opportunities
flexible working time
integration events
no dress code
coffee / tea
Recruitment stages
1
Let's get to know each other (30 min)
2
Technical Interview (1h)
3
Online Task (optional)
4
Personal Qualities Interview (1h)
5
Decision
Addepto
We are Addepto where you can feel a startup atmosphere! We believe that the only constant in life is change, so we try to keep developing and improving to become better at what we do every day! Speaking of which, acting outside the box, we create and deliver the best solutions in the area of Machine Learning, Big Data, and Business Intelligence.