AI Driven SaaS Product / Senior AI/ML Engineer

DevKit is recruiting a Senior AI/ML Engineer for an AI-driven SaaS procurement platform. The role involves leading AI/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution, and integrating cutting-edge research into a scalable product that transforms procurement into a strategic business function.

• Organize and oversee AI/DS/ML initiatives across the organization, managing the complete ML lifecycle from conception through execution
• Drive continuous development of AI/ML functionalities for the SaaS product with focus on well-structured, secure, and scalable code with comprehensive documentation and testing
• Integrate relevant research findings into the product through experimentation and creation of solutions such as chatbots, forecasts, and decision support systems
• Utilize software engineering expertise and business acumen to grow and maintain ML services across all development stages
• Establish and manage high-quality datasets and develop data pipelines for procurement data processing
• Collaborate with cross-functional software engineering teams to implement transformative changes in procurement practices
• Stay informed on latest AI/ML advancements and industry best practices, contributing insights for continuous improvement
• Foster a culture of learning, knowledge sharing, and team development within the Data Science team

• 5+ years of proven industry experience applying Machine Learning and AI techniques
• Proficiency in Machine Learning principles and generative models with understanding of computational limitations and data privacy
• 3+ years expertise in NLP and LLM, including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning, and anomaly detection
• Knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (Databases, Data Lakes, Data Warehouses)
• Expertise in Python ecosystem and popular ML libraries/frameworks tailored for LLM
• Experience with Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub)
• Proven ability to oversee end-to-end ML pipelines
• Advocacy for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization
• Proficient English communication skills, both verbal and written, with clarity and professionalism

Schedule & Location: Remote with attendance at EU events once per quarter. Time zone: CET. Occasional business travel within Europe may be required.

Benefits & Perks:

• Long-term role in a stable, fast-growing company
• Flexible working hours with results-oriented approach
• Competitive salary and benefits package including vacation, sick leave, and national holidays
• Comfortable workspace and corporate events
• Team-building activities
• Continuous learning and professional growth opportunities
• Skill development programs