MLOps Engineer all genders

Join Our Team at Seedbox: Innovating for a Better Tomorrow

Are you ready to be part of a visionary team thats redefining the landscape of AIdriven innovation At Seedbox we are more than just a company; we are a dynamic force of changemakers driven by the shared vision of our founders. Our journey began with a bold idea to harness the untapped potential of Artificial Intelligence in transforming the German Mittelstand the backbone of our economy. Today we stand as a beacon of transformation seamlessly blending the rich heritage of corporate innovation with cuttingedge AI expertise.

Our focus is on creating AI solutions that are intuitive and seamlessly integrate with our clients business processes. Thus our approach is deeply collaborative from ideation to development believing that the best results come from transparency sharing knowledge and commitment to the highest standards. Innovation is at the heart of everything we do. By combining cuttingedge AI technologies with proven expertise in corporate innovation we aim to drive transformation in our clients businesses.

Our team is dedicated to exploring new frontiers constantly improving our methodologies and pushing the boundaries of whats possible thus providing the most uptodate solutions. With everything we do we are committed to ethical obligations security implications and sustainability.

Our goal is to ensure that AI serves humanity positively contributing to a better tomorrow for everyone.

Tasks

We are looking for an experienced ML Ops Developer to join our team. In this role you will be responsible for designing implementing and maintaining robust MLOps pipelines to ensure seamless deployment and scaling of machine learning models. You will work closely with data scientists engineers and product teams to integrate ML models into production environments ensuring they are efficient secure and reliable. If you have a passion for automation scalability and optimizing ML workflows this role is for you.

• Design build and maintain endtoend MLOps pipelines for seamless deployment and operation of machine learning models.
• Collaborate with crossfunctional teams to integrate ML models into production ensuring high performance and scalability.
• Implement and manage Continuous Integration/Continuous Deployment (CI/CD) processes for machine learning projects.
• Monitor and optimize the performance reliability and scalability of ML models in production environments.
• Ensure best practices for versioning traceability and reproducibility of models and data.
• Troubleshoot and resolve issues related to model deployment performance and integration.
• Implement robust monitoring logging and alerting mechanisms for deployed models.
• Maintain and enhance security compliance and data privacy standards within ML workflows.
• Research and evaluate new tools technologies and practices to improve MLOps processes.

Requirements

• Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
• Proven experience in MLOps DevOps or related roles with a focus on machine learning models.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow PyTorch or Scikitlearn.
• Deep understanding of cloud platforms (AWS Azure Google Cloud) and their ML services.Expertise in containerization and orchestration technologies like Docker and Kubernetes.
• Experience with CI/CD tools such as Jenkins GitLab CI or similar specifically for ML pipelines.
• Proficient in using monitoring and logging tools (e.g. Prometheus Grafana) to manage ML models in production.
• Strong knowledge of software development best practices including version control (Git) and collaborative development.
• Excellent problemsolving skills with a proactive approach to identifying and addressing potential issues.Strong communication and teamwork abilities with experience working in crossfunctional teams.
• Ability to communicate fluently in both spoken and written English.

Benefits

• Competitive Salary: Attractive fair and experiencebased remuneration.
• Flat Hierarchies: Encouragement of personal initiative and room for your own ideas.
• Career Advancement: Dynamic environment with ample opportunities for professional growth.
• Flexible Remote Culture: Adaptability in work location and hours supported by efficient remote working tools.
• Professional Development: Ideal environment for both personal and professional growth with access to training and mentorship programs.
• Modern Technology: Stateoftheart Apple devices and software for efficient and enjoyable work.
• Prime Location: Attractive office in central Stuttgart easily accessible by public transport and with ample parking.
• Vibrant Team Culture: Regular team events a fun atmosphere and humorous colleagues.
• Social and Sustainable Responsibility: Engage in meaningful sustainability and community initiatives within the company.
• Performance Recognition: Working alongside performanceoriented highly motivated colleagues in an ambitious setting with clear recognition of achievements.
• Employee Recognition Programs: Implement programs that regularly recognize and reward employees for their hard work and achievements.

Imagine being part of a team that is closely involved in one of the most exciting and groundbreaking topics of our time Artificial Intelligence. With us you have a frontrow seat and a unique opportunity to actively shape the future.

We are a company that doesnt just talk the talk but walks the walk. Our employees are passionate about what they do and that passion is what sets us apart. We dont just live for AI; we create it.

To help you reach your full potential and develop outstanding AI products with us we provide all the necessary conditions. From cuttingedge technology to a supportive and inspiring work environment youll find everything you need to achieve greatness here.

Does this sound like the perfect place for you Then apply now and join us on our mission to make a lasting impact on the world through Artificial Intelligence.