AI Engineer



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.

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