Artificial Intelligence Engineer Lisboa

Artificial Intelligence Engineer
Lisboa
Lisboa, Lisboa, Portugal

About Us

Information technology accompanies the route of every GLS 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. GLS IT is responsible for the tools and systems involved. Our employees organize the IT for more than 840 million parcels in 41 country subsidiaries and partners at over 1600 locations.

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
- edge artificial intelligence solutions to solve complex business problems. You will collaborate with
- 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.

-     Collaborate with
- functional teams to identify business needs and potential areas where AI solutions can add value;

-     Design and develop
-
- concepts (Po
Cs) using machine learning and deep learning techniques to demonstrate the feasibility and potential impact of AI-driven solutions;

-     Evaluate and validate the performance of Po
Cs, considering factors such as accuracy, scalability, and computational efficiency;

-     Work closely with stakeholders to understand their feedback and requirements, iterating on Po
Cs to enhance their value and address specific business challenges;

-     Analyze the outcomes of Po
Cs and identify the most promising concepts with significant business value;

-     Translate successful Po
Cs into minimum viable products (MVPs), working collaboratively with software engineers and data scientists to productize and scale the solutions;

-     Optimize and
- 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
- 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 Po
C 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.

-     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. , Tensor
Flow, Py
Torch, Keras, Lang
Chain);

-     Proficiency in programming languages such as Python and Java, and experience with relevant libraries and tools for data manipulation, analysis, and visualization (e. g. , Num
Py, 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
- solving skills and ability to translate business requirements into technical solutions;

-     Excellent communication and teamwork abilities, with the capacity to collaborate effectively with
- functional teams;

-     Strong attention to detail;

-     A
- driven and proactive attitude, with a passion for learning and staying updated on emerging technologies and industry trends;

-     Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team.

-     An opportunity to work in an international environment;

-     Health insurance;

-     Friendly and cooperative workplace;

-     Worktime flexibility;

-     Continuous training.