- Drive AI/DS/ML initiatives across an organization and take ownership of the entire ML lifecycle, from concept to delivery
- Continue AI/ML development for our SaaS product with a passion for well architected, secure, testable and documented code as well as scalable system design
- You are self-starter who identifies relevant research in procurement area and subsequently integrates this knowledge into our product by conducting experiments and devising solutions for creating chatbots, forecasts and desicion support systems
- Utilize your software engineering expertise and business acumen to build, scale and maintain our ML services, managing all phases of technology development
- Create, maintain high-quality datasets and implement data pipelines for processing procurement data
- Collaborate with our cross-functional teams of software engineers implementing disruptive change in the procurement industry
- Stay up-to-date with the latest advancements in AI/ML technologies and best practices, and proactively contribute ideas for continuous improvement
- Learn, share knowledge and participate in further building of our Data Science team
Requirements
- University degree (PhD preferred) in a relevant field of study like Artificial intelligence, Machine Learning, Deep Learning, Data Science, Data Engineering, Statistics, Computer Science, Engineering
- Strong knowledge of Machine Learning and generative models with understanding of computational constraints and data privacy considerations
- 5+ years of overall commercial experience in Data Science
- 3+ years of commercial experience with NLP / LLM including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques
- Knowledge of Data Analyze/Processing, Data Visualization and Storages (Databases, Data Lakes, Data Warehouses)
- Champion best coding practices, documentation, reviews, data quality and security, and performance with proficiency in Python ecosystem and a strong grasp of popular ML libraries and frameworks, including LLM oriented
- Experience with Infrastructure (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub) and managing end-to-end ML pipelines would be a big plus
- Relevant experience in software development and familiarity with our tech stack (React and Java) would be a plus
- Good English in speaking and writing, communication skills that are clear, open and professional
akirolabs
Award-winning AI-powered platform designed to elevate procurement from a tactical function to a strategic business partner orchestrating value chains.
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