MLOps (regular)
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 .
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.
What we offer :
Opportunity to gain unique experience in the areas of AI and BI
Fast career path and the possibility of further development
Flexible working hours and the possibility of remote work
Work in a well-coordinated team of Data Science, Business Intelligence, and Big Data enthusiasts
Any form of employment and attractive salary depending on your skills
Interesting benefits (team-building events, training budget, medical & sports package, and others)
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 model's 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
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
Good to know : Spark, Kafka, NoSQL, BI tools
Are you interested in Addepto and would like to join us?
Get in touch! We are looking forward to receiving your application. Would you like to know more about us?
Visit our website ( career page ) and social media ( Facebook ,
