Role overview
*General Job Profile: Machine Learning Engineer
Role Title: Machine Learning Engineer
Seniority: Mid to Senior
Location: On-site / Hybrid
Employment Type: Full-time
Role Overview**
At MyTower we are seeking a Machine Learning Engineer to design, build, and deploy machine learning models and data-driven systems in connection to our supply chain execution solutions (TMS, GTM, SCM). You will work across the full ML lifecycle—from data preparation and experimentation to model deployment and monitoring in production. The ideal candidate has strong hands-on experience with modern ML techniques, deep learning frameworks, and scalable ML infrastructure. The work or the MyTower AI Cometence Center will subsequently be integrated into existing and future software modules of the MyTower Solution Suite.
The ideal candidate combines deep technical expertise in machine learning with the ability to think strategically about how AI can enhance user experience, automation, decision-making, and operational performance.
*Key Responsibilities
AI Strategy & Innovation Support**
- Collaborate with product teams to identify where AI can create value in MyTower’ s software solutions.
- Evaluate feasibility, data readiness and technical pathways for new AI features.
- Create prototypes or proof-of-concepts to validate potential use cases.
- Advise on AI technologies, tooling, trends, and architectural choices.
- Support long-term AI roadmap development and contribute to product vision.
What we're looking for
- 3+ years as ML Engineer, NLP Engineer, or Data Scientist with engineering focus
- Strong proficiency in Python
- First experience designing and building AI agents using agentic frameworks (e.g. LangChain, LangGraph, CrewAI, AutoGen)
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with large language models or generative AI
- Familiarity with model serving tools (FastAPI, TorchServe, MLflow, etc.)
- Knowledge of cloud platforms (Scaleway, AWS, Azure, or GCP)
- Experience deploying ML models into production
- Understanding of data structures, algorithms, and software engineering principles
- Comfortable with Linux, Docker, and version control
- Fluent in French and English (Minimum Level : B2)
- Familiarity with supply chain execution concepts — such as Transportation Management (TMS), Global Trade Management (GTM), freight, customs, or international trade flows. Domain understanding is a strong plus
- Knowledge of frontend and backend frameworks (in particular Spring Boot, Angular)
- Knowledge of GenOps concepts and tools
- Experience with testing, model monitoring, and analytics
Type d'emploi : Temps plein, CDI
Rémunération : 33 772,21€ à 85 224,40€ par an
Lieu du poste : Télétravail hybride (Paris (75))