In the central Research & Advanced Engineering organization, we are looking for a Senior Engineer with a robust background either in AI/Machine Learning or Data Engineering to join our innovation global team. This role involves technically leading the development and implementation of AI&Data-driven software solutions that are crucial for our business strategies and technical transformations into an AI empowered company.
As a Senior Engineer focusing on AI/ML or Data Engineering, you will:
- Lead the development, and deployment of machine learning models or data-driven solutions;
- Formulate Statement-of-Work / Workpackages to be done by other colleagues or teams and be able to coordinate this;
- Collaborate with interdisciplinary teams to understand business needs and develop technical solutions;
- Implement state-of-the-art ML algorithms, adapting and improving them according to project requirements;
- Perform extensive data analysis and model validation to ensure the efficacy and accuracy of solutions;
- Maintain and enhance existing AI frameworks and libraries to keep them at the cutting edge;
- Engage in continuous learning to keep abreast of industry trends and technology advancements;
- Mentor junior developers, contribute to team knowledge sharing, and collaborate with cross-functional teams to achieve project goals;
- Ensure the delivery of high-quality, robust, and scalable AI-driven applications.
A mentor will support you to stepwise take over responsibility after an initial training phase that will familiarize you with our products, tools, processes, and organization.
You would be a perfect match for our team if you have:
- Advanced degree (MSc or PhD) in Computer Science, Informatics, Mathematics, or a related engineering field;
- At least 8 years of professional experience in Software, AI or Data related fields
- At least 4 years experience in AI/ML Engineering or Data Engineering;
- Excellent knowledge of Python;
- Good knowledge of computer science and general software engineering principles;
- Great understanding of data-driven research and development;
- Ability to work hands-on independent from external guidance;
- Ability to formulate Statement-of-Work / Workpackages to be done by other teams and be able to coordinate this;
- Excellent problem-solving skills and understanding of software engineering principles;
- Strong communication skills and proficiency in English, both spoken and written.
- Demonstrated ability to learn and be creative, with a strong sense of independence and teamwork.
- Experience in an agile development environment;
- Experience in writing technical and user documentation;
- Experience with version control systems like git and project management tools like JIRA;
- Knowledge of DevOps tools and methodologies, e.g., Docker, Kubernetes.
Additionally, for AI/ML Engineering
- Solid background and self-driven interest in machine learning, and deep learning, familiarity with recent advances of state-of-the-art;
- Knowledge in optimizing and fine-tuning deep neural networks;
- Demonstrated experience in applying Machine Learning methods for real-world value creation;
- Familiarity with GPU-accelerated libraries (e.g., PyTorch, TensorFlow, Keras 3)
Or additionally for Data Engineering
- Project-based practical experience of working with Amazon Web Services (AWS) technologies;
- Practical experience based on previous projects with continuous integration, continuous deployment, and test automation in architectures, e.g., Jenkins, GitHub Actions;
- Project-based hands-on experience with container and DevOps technologies;
- Experience with data analytics tools such as Power BI or Tableau;
- Good Experience with SQL, NoSQL;
- Knowledge of Hadoop, Spark, Spark Streaming, Presto, Hive, Crontab, Airflow.
What we offer:
Pay for Performance:
- Achievement Bonuses and Rewards;
- Relocation Bonus for non-Timisoara Residents;
- Recommendation Bonuses for new team members;
- Flexibility Program including flexible hours, mobile work and sabbaticals.
Wellbeing:
- Health & Wellness (Private Health Insurance, Life Insurance, Sport activities etc.);
- Different discounts (glasses, tires, medical, shopping);
- In-house restaurant & coffee corners.
Life-Long Learning:
- Technical, Soft Skills & Leadership trainings;
- Dedicated Programs and Conferences;
- Free Language Courses (English, German, French etc);
- Access to e-learning platforms;
- Career development opportunities (local and international);
- Internal development communities (Experts, Agile Community of Practice, Artificial Intelligence etc).
Ready to drive with Continental? Take the first step and fill in the online application.