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Machine Learning Engineer
@Alma
[Hiring] Machine Learning Engineer @Alma
Mar 20, 2025 - Alma is hiring a remote Machine Learning Engineer. 💸 Salary: unspecified. 📍Location: France.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We're seeking a Machine Learning Engineer (MLE) to join our expanding AI/ML team within the Data department. As we broaden our Machine Learning (ML) capabilities across the organisation, we're looking for an enthusiastic individual to contribute to our core risk assessment models and help drive innovation in new areas of the business.
- Contribute to the maintenance and improvement of our core risk assessment and fraud prevention models
- Collaborate on new ML initiatives across various business units, applying your skills to diverse challenges beyond risk management
- Participate in the full ML lifecycle, from data collection and preprocessing to model development, deployment, and monitoring
- Work closely with cross-functional teams to identify and implement ML opportunities that drive business value
- Help maintain a balance between risk-focused projects and new ML initiatives
Key Responsibilities
- Develop and refine ML models for risk assessment, fraud detection, and customer experience optimisation
- Explore and implement ML solutions for new business areas, such as customer support automation or merchant onboarding assistance
- Contribute to the team's MLOps practices, improving model deployment and monitoring processes
- Participate in code reviews and knowledge sharing sessions within the team
- Stay informed about the latest ML research and technologies, applying new techniques to solve complex business problems
ML Stack: Python, FastAPI, VertexAI, BigQuery, PostgreSQL, Github, scikit-learn
Qualifications
- Master's degree in Computer Science, Machine Learning, Statistics, or a related field
- Minimum 1 year of experience in machine learning or data science (internships or apprenticeships experiences excluded)
- Fluent in English mandatory
- Strong programming skills in Python
- Proficiency with ML libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with relational databases and cloud services providers
- Knowledge of MLOps practices and tools
- Experience in managing a full ML lifecycle (until monitoring) is required
- Solid understanding of ML fundamentals, including supervised and unsupervised learning algorithms, feature engineering, and model evaluation techniques
- Experience with natural language processing (NLP)
- Strong communication & problem-solving skills, methodical, and ability to explain complex concepts to non-technical stakeholders
Nice-to-Have
- Familiarity with cloud platforms (preferably GCP) and containerisation technologies (e.g., Docker)
- Familiarity with Generative AI (GenAI) technologies and large language models (LLMs) and their applications in enhancing productivity and decision-making processes
- Experience interacting with graph databases
- Familiarity with financial services, risk modelling, or fraud detection
- Fluency in French
Recruitment Process
- Phone interview with Recruiter (30 mins)
- Technical interview with Lead MLE & 2 MLEs (60 mins)
- Live Applied ML / Python interview & ML system design interview with MLE team (75 mins)
- Final interview with Head of Data (45 mins)
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| 📍 | Be aware of the location restriction for this remote position: France |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
unspecified
|
Remote
Location
France
|
|
Job Type
unspecified
|
Posted
Mar 20, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: France |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
