AI Innovation Engineer
vor 2 Wochen
At Seedbox, we're revolutionizing the landscape of AI-driven innovation. Our team is comprised of visionary change-makers, driven by a shared passion for harnessing the untapped potential of Artificial Intelligence. We're dedicated to creating AI solutions that seamlessly integrate with our clients' business processes, fostering a collaborative approach from ideation to development.
Our focus is on driving transformation in our clients' businesses through cutting-edge AI technologies and proven expertise in corporate innovation. We're committed to ethical obligations, security implications, and sustainability, ensuring that AI serves humanity positively.
Job DescriptionWe're seeking an experienced ML Ops Developer to join our team. As an ML Ops Developer, you'll be responsible for designing, implementing, and maintaining robust MLOps pipelines to ensure seamless deployment and scaling of machine learning models. You'll work closely with data scientists, engineers, and product teams to integrate ML models into production environments, ensuring they're efficient, secure, and reliable.
Key Responsibilities- Design, build, and maintain end-to-end MLOps pipelines for seamless deployment and operation of machine learning models.
- Collaborate with cross-functional 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.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- At least 3 years of professional experience in MLOps, DevOps, or related fields with a focus on machine learning models.
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- 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 problem-solving skills, with a proactive approach to identifying and addressing potential issues.Strong communication and teamwork abilities, with experience working in cross-functional teams.
- Ability to communicate fluently in both spoken and written English.
- Competitive Salary: Attractive, fair, and experience-based 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: State-of-the-art 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 performance-oriented, 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's closely involved in one of the most exciting and groundbreaking topics of our time – Artificial Intelligence. With us, you have a front-row seat and a unique opportunity to actively shape the future.
We're a company that doesn't 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 don't 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 cutting-edge technology to a supportive and inspiring work environment – you'll 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.
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