About the Company
At Sourcing Trust, we are committed to delivering innovative, reliable, and tailored technology solutions that empower businesses to succeed in a rapidly evolving digital landscape. With a focus on excellence, integrity, and collaboration, we build lasting partnerships by understanding our clients' unique needs and providing them with expert support across. Our team is dedicated to fostering a positive and inclusive work environment where every employee's contribution is valued, encouraging continuous growth, learning, and shared success. Join us and be part of a passionate organization driven by innovation and excellence.
About the Role
We are looking for an AI Engineer for a project in the logistics sector, focused on designing, developing, and scaling AI-driven solutions from proof-of-concept to production. The role requires strong expertise in machine learning, deep learning, and LLMs, together with the ability to collaborate with cross-functional teams and translate business needs into impactful technical solutions.
Requirements
Responsibilities
Collaborate with cross-functional teams to identify business needs and opportunities where AI can add value.
Design and develop proof-of-concepts (PoCs) using machine learning and deep learning techniques to demonstrate feasibility and potential impact.
Evaluate and validate PoC performance, considering accuracy, scalability, and computational efficiency.
Work closely with stakeholders to incorporate feedback and requirements, iterating on PoCs to enhance value and address specific business challenges.
Analyze PoC outcomes and identify the most promising concepts with significant business value.
Translate successful PoCs into minimum viable products (MVPs), collaborating with software engineers and data scientists to productize and scale 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 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 reports and presentations to stakeholders.
Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
Proven experience 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.
Self-driven and proactive attitude, with a passion for learning and staying updated on emerging technologies and industry trends.