Lead Machine Learning Engineer
il y a 4 jours
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 missions
1) 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 Head of Risk Modelling (30 mins)
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