or apply directly on Margo Group's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 79 days Margo Group's roles stay open a median of 79 days
- Reposted
- No
- Salary listed
- No 0% of Margo Group's roles list one
- Ghost-job risk at Margo Group
- high 73 stale, 0 reposted of 73 open
- Hiring momentum
- 92 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Margo Group's own lever board since 2026-08-04. Full hiring picture for Margo Group.
About this role
As a Machine Learning Engineer at MARGO, you will work on complex projects that combine intellectual challenges with real business impact in sectors like finance, industry, and energy. Your main responsibilities will include industrializing machine learning algorithms, ensuring their lifecycle in production, and collaborating with data scientists and engineers to optimize and deploy models effectively.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Margo Group as an employer.
What you need
- Bac+5 in Computer Science or Applied Mathematics
- Advanced mastery of Python and software best practices (Git, Unit/Integration Testing, Packaging)
- Solid experience with Cloud platforms (AWS, Azure, or GCP) and Infrastructure as Code (Terraform is a plus)
- Mastery of the MLOps ecosystem: MLflow, Kubeflow, Docker, Kubernetes
- Good understanding of ML libraries (Scikit-learn, Pandas) and Deep Learning (TensorFlow, PyTorch)
- Significant experience in deploying ML models in production (batch or real-time)
What you get
- Ambitious and varied missions selected for their added value
- Close support from recognized experts
- Community of passionate engineers with workshops, conferences, and regular exchanges
- Culture of technical excellence, knowledge sharing, and continuous development
Worth weighing
- No salary listed
- Focus on industrialization and deployment of ML models may limit exposure to other areas of data science
- The role requires a hybrid skill set that straddles software engineering and data science, which may not suit all candidates
Summarised from Margo Group's posting. Read the full original.
Listed by Margo Group on their lever job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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