Software Engineer for MLOps/DataOps

Stalni radni odnos

Walaris

Istaknuti poslovi
Grad
Grad
Zagreb
Prednosti
Prednosti
Competitive compensation, Creative freedom, Fast-paced environment
Ključne odgovornosti
  • Building data ingestion and 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.
  • Machine learning model optimization: Review, refactor, and optimize machine learning models for improved performance, scalability, and efficiency.
  • 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.
  • Collaboration and documentation: Work closely with cross-functional teams, including data scientists, data engineers, and architects. Document processes and best practices.

Zahtjevi

bullseye

Potrebne kvalifikacije

Tehničke vještine
Kubeflow
MLFlow
DataRobot
Airflow
Docker
Kubernetes
Python
Bash
PyTorch
TensorFlow
Keras
scikit-learn
Obrazovanje
Bachelor’s degree in computer science, software engineering, or a similar discipline
Soft vještine
Excellent communication skills
green_heart

Poželjne kvalifikacije

Dodatne vještine
Experience in computer vision field and large-scale visual data management
Alati & Tehnologije
AWS
Microsoft Azure
Google Cloud Platform
Jenkins
Obrazovanje
Master’s degree in in computer science, software engineering, or a similar discipline
Originalan opis

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.

Responsibilities

  • 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
  • Collaboration and documentation- work closely with cross-functional teams, including data scientists, data engineers, and architects. Document processes and best practices

Requirements

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

Benefits

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.

If you’re ready to make an impact, we invite you to apply by submitting your cover letter, resume, and transcript through our online application form.

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