Détail du poste About the job Alma is seeking an experienced and visionary Lead Machine Learning Engineer to head our AI/ML team within the Data department. As we expand our ML capabilities across the organisation, we are looking for a dynamic leader to drive innovation, mentor team members, and shape the future of our ML initiatives. As the Lead Machine Learning Engineer at Alma, you will oversee a team that has successfully developed critical ML solutions for our core business, including risk assessment tools, customer scoring models, and fraud prevention systems. While these risk-related topics remain our priority, you will also lead the charge in expanding our ML capabilities to new and exciting areas of the business. About the key missions1) People Management- Oversee a team of 1 MLOPS Specialist and 3 ML Engineers - Set and track quarterly objectives for team members - Manage HR matters, including performance reviews and career development - Conduct regular one-on-ones to ensure team alignment and individual growth 2) Strategic Leadership- Shape the ML roadmap in alignment with Alma's business goals - Stay updated on industry best practices and emerging technologies in ML and AI - Provide technical guidance on key initiatives across the organisation - Collaborate with other department Heads to identify new opportunities for ML applications - Drive internal communication to increase visibility and recognition of the ML team's achievements and capabilities across the company - Contribute to Alma's external presence in the ML community through thought leadership, conference presentations, or technical blog posts, enhancing our reputation as an ML-driven fintech leader 3) Project Management- Identify and prioritize ML projects based on business impact and technical feasibility - Assess the technical complexity of proposed projects and allocate resources effectively - Manage project timelines and deliverables, ensuring high-quality outputs - Balance resources between maintaining core risk models and exploring new ML initiatives 4) Technical Contribution- Engage in hands-on work in ML engineering and ML Ops - Participate in code reviews to maintain high code quality standards - Mentor team members, fostering a culture of continuous learning and innovation - Contribute to the architecture and design of complex ML systems About you What would make you a good fit for the role : - Education : Master's degree or Ph. D. in a relevant field (computer science, machine learning, mathematics, engineering, statistics, etc.) - Experience : 5+ year of full-time permanent experience (internships & apprenticeships excluded) in machine learning, with at least 2 years in a management role - Strong communication skills, with the ability to explain complex concepts to non-technical and technical stakeholders - Strong leadership and mentoring abilities - Language : Fluency in English is mandatory. Fluency in French will BE a plus ! Technical qualifications : - Deep understanding of ML fundamentals, including advanced algorithms and model evaluation techniques - Strong programming skills in Python and proficiency with ML libraries and frameworks - Experience with MLOPS, cloud platforms (preferably GCP), and containerisation technologies - Proven track record of successfully delivering ML projects in a production environment What would make you stand out of the crowd : - Experience in the Fintech or financial services industry - Familiarity with risk modelling and fraud detection systems - Knowledge of natural language processing (NLP) and large language models (LLMs) - Understanding of data privacy and security best practices ML Stack : Python, FastAPI, VertexAI, BigQuery, PostgreSQL, Github, scikit-learn About the recruitment process- Phone interview with Recruiter (30 mins) - Technical & Fit assessment interview with MLEs (75 mins) - Leadership & Behavioural interview with Head of Data (45 mins) - Final interview with CTO (30 mins)