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Ovaj oglas je istekao 25.10.2025. i više nije aktivan.
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Ovaj oglas je istekao 25.10.2025. i više nije aktivan.
Sadržaj oglasa prikazan je isključivo u informativne svrhe.
Trenutno aktivne oglase pogledajte na www.posao.hr.
Software Engineer for MLOps/DataOps (m/f)
Oglas je istekao
Poslodavac:
Kategorija:
Mjesto rada:
Zagreb
Rok prijave:
25.10.2025.
O poslu
Opis radnog mjesta:
Walaris designs and develops AI-driven, software-defined, and hardware-enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real-time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting-edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide.
We are seeking a talented Software Engineer to join our dynamic team and play a key role in designing and implementing robust MLOps and data engineering pipelines for real-world impact.
For our office in Zagreb, we are looking for a Software Engineer for MLOps/DataOps (m/f/d) starting as soon as possible.
-Set up, extend and maintain data engineering platforms to automate and scale data ingestion, annotation and versioning processes
-Build scalable and robust MLOps pipelines: utilize tools like Kubeflow, MLFlow, DataRobot, Airflow, Docker, and Kubernetes to streamline model development and deployment
-Orchestrate CI/CD pipelines: collaborate with DevOps teams to automate the continuous integration and delivery process using GitLab CI or similar tools
-Containerization and deployment: containerize machine learning models and orchestrate their deployment, versioning, and monitoring
-Model testing and validation: develop and automate tests to ensure the quality and reliability of machine learning models
dCollaboration and documentation: work closely with cross-functional teams, including data scientists, data engineers, and architects. Document processes and best practices
We are seeking a talented Software Engineer to join our dynamic team and play a key role in designing and implementing robust MLOps and data engineering pipelines for real-world impact.
For our office in Zagreb, we are looking for a Software Engineer for MLOps/DataOps (m/f/d) starting as soon as possible.
-Set up, extend and maintain data engineering platforms to automate and scale data ingestion, annotation and versioning processes
-Build scalable and robust MLOps pipelines: utilize tools like Kubeflow, MLFlow, DataRobot, Airflow, Docker, and Kubernetes to streamline model development and deployment
-Orchestrate CI/CD pipelines: collaborate with DevOps teams to automate the continuous integration and delivery process using GitLab CI or similar tools
-Containerization and deployment: containerize machine learning models and orchestrate their deployment, versioning, and monitoring
-Model testing and validation: develop and automate tests to ensure the quality and reliability of machine learning models
dCollaboration and documentation: work closely with cross-functional teams, including data scientists, data engineers, and architects. Document processes and best practices
Posebne pogodnosti:
Join our mission and become part of an innovative, dynamic team! At Walaris, you’ll play a vital role in saving lives and safeguarding local and national security by harnessing the power of cutting-edge technologies. This is your chance to break new ground and take on meaningful responsibility as you help develop and deploy industry-defining solutions.
We offer creative freedom, competitive compensation, and a fast-paced, collaborative environment where your ideas and contributions truly matter.
We offer creative freedom, competitive compensation, and a fast-paced, collaborative environment where your ideas and contributions truly matter.
Vrsta posla:
stalni radni odnos
Županija:
O zaposleniku
Znanja i kvalifikacije:
Required Qualifications
-Bachelor’s degree in computer science, software engineering, or a similar discipline
-Proficiency with MLOps frameworks such as Kubeflow, MLFlow, DataRobot, and Airflow
-Familiarity with Docker and Kubernetes, and experience with container orchestration
-Strong programming skills in Python and Bash. A solid understanding of Linux environments
-Experience with data engineering for machine learning applications
-Experience with software development and test automation
-Fluent in English with excellent communication skills
Preferred Qualifications
-Master’s degree in in computer science, software engineering, or a similar discipline
-Experience in computer vision field and large-scale visual data management
-Experience in using AWS, Microsoft Azure, or Google Cloud Platform services
-Experience with CI/CD tools such as Jenkins
-Knowledge of popular machine learning frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn
Please apply via application link below.
-Bachelor’s degree in computer science, software engineering, or a similar discipline
-Proficiency with MLOps frameworks such as Kubeflow, MLFlow, DataRobot, and Airflow
-Familiarity with Docker and Kubernetes, and experience with container orchestration
-Strong programming skills in Python and Bash. A solid understanding of Linux environments
-Experience with data engineering for machine learning applications
-Experience with software development and test automation
-Fluent in English with excellent communication skills
Preferred Qualifications
-Master’s degree in in computer science, software engineering, or a similar discipline
-Experience in computer vision field and large-scale visual data management
-Experience in using AWS, Microsoft Azure, or Google Cloud Platform services
-Experience with CI/CD tools such as Jenkins
-Knowledge of popular machine learning frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn
Please apply via application link below.
