Main Tasks & Responsibilities:
- 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;
Main Requirements:
- 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;
- Excellent communication and teamwork abilities, with the capacity to collaborate effectively with cross functional teams;
- Strong attention to detail;
- A self-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;
Other Requirements:
- Availability to work in the EU;
- International Environment;
- English mandatory.
