sharing the costs of sports activities
Pracodawca zakończył zbieranie zgłoszeń na tę ofertę
Aktualne oferty pracodawcyPracodawca zakończył zbieranie zgłoszeń na tę ofertę
Aktualne oferty pracodawcyMLOps Engineer
Addepto
Lesser Poland
Lesser Poland- offer expired 2 months ago
- contract of employment, B2B contract
- full-time
- specialist (Mid / Regular), senior specialist (Senior)
- home office work, hybrid work
- Immediate employment
- remote recruitment
- запрошуємо працівників з України

Technologies we use
Expected
Python
Scala
Java
Google Cloud Platform
AWS
Microsoft Azure
Kubeflow
MLFlow
Optional
Spark
Kafka
NoSQL
About the project
For our team based in Warsaw and remotely, we are looking for an MLOps Engineer focusing mainly on deploying machine learning models and ensuring they are functional in production. You will use software engineering and DevOps skills to operationalize AI and ML models.
We are open for candidates with different expertise levels (Mid/Senior/Lead), who want to develop further their skills and experience in this role.
Your responsibilities
Design and develop cloud infrastructure required for developing and deploying AI-driven applications
Develop MLOps workflows for data preparation, deployment, monitoring, and retraining
Provide consulting and assistance for data science teams to ensure effective operationalization of AI-driven solutions
Create and integrate data source connectors for feeding ML pipelines with data
Improve ML models reproducibility, auditing, and performance capabilities
Translate business problems into ML problems and create ML solutions to produce desired customer business outcomes
Architect, build and launch new data models that provide intuitive analytics to the team
Build data expertise and own data quality for the pipelines you create
Develop AI applications using various software engineering tools and technologies
Our requirements
Higher education in technical and mathematical studies (or the last year of studies)
Relevant software engineering experience (Python, Scala, or Java) in a data-focused role
Working knowledge of AI/ML and Data Engineering tools in any major cloud platform such as GCP, AWS, or Azure
Hands-on experience with ML operationalization
Experience in setting up CI/CD/CT pipelines for ML
Hands-on experience with Kubeflow, MLflow, or similar
Working experience with containers and container orchestration platforms such as Kubernetes
Ability to understand tools used by data scientists
Optional
Good to know: Spark, Kafka, NoSQL, 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
mentoring
soft skills 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
Let's get to know each other (30 min)
Technical Interview (1h)
Online Task (optional)
Personal Qualities Interview (1h)
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! We act outside the box and create and deliver the best solutions in Machine Learning, Big Data, and Business Intelligence.