Artificial Intelligence Engineer

THE ROLE

We are looking for a #TechTalent to take on the role of AI Engineer for a project in the logistics sector.

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.

WHAT WE'RE LOOKING FOR

• Bachelor's or master's degree in computer science, data science, artificial intelligence, Mathematics 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.