- Company Name
- SOFTEAM Expertise Data & IA
- Job Title
- Ingénieur(e) IA / ML Ops Senior – Banque / CDI F/H
- Job Description
-
**Job Title**
Senior AI / ML Ops Engineer – Banking (Full Time, M/F)
**Role Summary**
Lead technical delivery of large‑scale, strategic Data & AI projects in a banking environment. Own end‑to‑end model development, production pipelines, and governance to ensure robust, explainable, and compliant AI solutions.
**Expactations**
- 5+ years of operational AI/ML experience, preferably in finance.
- Deep expertise in ML Ops tooling (Kubernetes, MLflow, Argo, Docker, Terraform, Databricks).
- Strong background in ML/Deep Learning frameworks (scikit‑learn, PyTorch, TensorFlow).
- Proven CI/CD, orchestration, monitoring, and automation skills.
- Knowledge of AI ethics, regulatory requirements (IA Act, GDPR).
- Excellent technical communication, mentorship, and cross‑functional collaboration.
- Experience in data‑centric banking systems is an advantage.
**Key Responsibilities**
- Define business needs, translate them into technical specifications.
- Coach Data Scientists on ML/Deep Learning/GenAI/Agentic AI best practices.
- Design and implement industrial‑ready, explainable AI models.
- Build, test, and maintain ML Ops pipelines (CI/CD, versioning, automated tests).
- Enforce ML Ops standards: reproducibility, governance, security, data quality, IaC.
- Ensure compliance with regulations (IA Act, GDPR, internal norms).
- Document and promote AI best practices.
- Lead production deployment and post‑deployment monitoring.
- Act as technical liaison for AI validation and audits.
- Continuously scan for innovative solutions and upsell opportunities.
- Mentor and develop junior team members.
**Required Skills**
- ML Ops technologies: Kubernetes, MLflow, Argo, Docker, Terraform, Databricks.
- ML/Deep Learning: scikit‑learn, PyTorch, TensorFlow, generative AI, agentic AI.
- CI/CD, Git, automated testing, performance tuning.
- Monitoring & observability for ML models.
- Data governance, security, and regulatory compliance.
- Strong problem‑solving, analytical, and communication abilities.
- Leadership and knowledge‑sharing mindset.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent.
- Professional certifications in AI/ML, DevOps, or cloud platforms preferred (e.g., TensorFlow, Kubernetes, MLflow).