Senior AI Engineer
About Us
Information technology accompanies the route of every parcel: a parcel from a grandma in Hamburg to her grandson in Sicily. Entire goods delivered from manufacturers to retailers. Whether it is parcel routing or a mobile app - there is always highly developed IT behind it. This company is responsible for the tools and systems involved. Our employees organize the IT for more than 905 million parcels in 40 countries' subsidiaries and partners at over 1600 locations.
Job Overview
We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. As an AI Engineer, you will be responsible for developing and implementing cutting-edge artificial intelligence solutions to solve complex business problems. You will collaborate with cross-functional teams to design, build, and deploy AI models and algorithms, and contribute to the overall development of AI-driven applications. The ideal candidate has a strong background in LLMs (like GPT), machine learning, deep learning, and data analysis, along with excellent programming skills and a passion for innovation.
What we need
Bachelor's or master's degree in computer science, data science, artificial intelligence, or a related field.
Proven experience working as an AI Engineer, machine learning engineer, or similar role.
Solid understanding of LLMs, machine learning and deep learning techniques, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain).
Proficiency in programming languages such as Python and Java, and experience with relevant libraries and tools for data manipulation, analysis, and visualization (e.g., NumPy, pandas, Matplotlib).
Experience with big data processing and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
Strong problem-solving skills and ability to translate business requirements into technical solutions.
Responsibilities and Duties
Collaborate with cross-functional teams to identify business needs and potential areas where AI solutions can add value.
Design and develop proof-of-concepts (PoCs) using machine learning and deep learning techniques to demonstrate the feasibility and potential impact of AI-driven solutions.
Evaluate and validate the performance of PoCs, considering factors such as accuracy, scalability, and computational efficiency.
Work closely with stakeholders to understand their feedback and requirements, iterating on PoCs to enhance their value and address specific business challenges.
Analyze the outcomes of PoCs and identify the most promising concepts with significant business value.
Translate successful PoCs into minimum viable products (MVPs), working collaboratively with software engineers and data scientists to productize and scale the solutions.
Optimize and fine-tune AI models and algorithms to meet performance requirements and align with business objectives.
Conduct thorough testing and validation of MVPs, ensuring their reliability, stability, and usability in real-world scenarios.
Collaborate with product teams to integrate AI capabilities into existing systems or develop new AI-driven applications.
Stay informed about industry trends, advancements, and best practices in AI engineering and leverage this knowledge to drive innovation in PoC and MVP development.
Document the development process, methodologies, and results, providing clear and concise reports and presentations to stakeholders.
Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team.
Other Details
This position may offer opportunities for remote work and will involve working on innovative projects that leverage advanced AI technologies.