9 months ago
Paris, FranceSenior
Responsibilities
- Design and implement CI/CD pipelines for machine learning and deep learning models.
- Deploy and maintain scalable AI production environments on AWS, Azure, GCP, or on-premise infrastructure.
- Implement monitoring and alerting for model performance, data drift, and availability.
- Standardize and automate data preprocessing, training, deployment, and monitoring workflows.
- Collaborate with data scientists and data engineers to ensure the quality and robustness of deployed models.
- Apply security, GDPR compliance, data governance, DataOps, and responsible ML practices.
- Advise clients on technology choices, benchmark solutions, and deliver proofs of concept.
- Contribute to technical pre-sales responses and client presentations for MLOps topics.
- Provide technical leadership to junior profiles and share knowledge through internal projects and training.
Requirements
- Bac +5 degree in computer science, data science, or an equivalent qualification.
- At least 6 years of experience in Data/AI, including at least 3 years in MLOps.
- Proven experience deploying and industrializing large-scale machine learning models in cloud environments, with attention to performance, scalability, and cost.
- Technical leadership skills for mentoring junior profiles and collaborating with multidisciplinary teams.
- Strong communication, technical explanation, organization, initiative, and technology-monitoring skills.
- Experience with at least one of AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, or Snowflake.
- Experience with Python, Spark, Bash, Git, GitLab CI or Jenkins, Docker, and Kubernetes.
- Experience with MLflow, Kubeflow, Airflow, DVC, or Weights & Biases.
- Experience with Terraform, Ansible, Helm, Prometheus, Grafana, ELK, or model-monitoring tools such as EvidentlyAI, Fiddler, or Arize AI.
- Knowledge of SQL, NoSQL, and Delta Lake, plus operational data science and machine learning and deep learning concepts.
- Sensitivity to ethics, explainability, sustainability, GDPR, data governance, and responsible AI.
Benefits
- Career development and training plan, including vendor training and certifications.
- Modern city-center offices and close management by local experts.
- Up to five remote-work days depending on the assignment, plus a €100 equipment allowance.
- Mobility opportunities in France and internationally.
- Restaurant vouchers, vacation bonus, 50% reimbursement of public transport subscriptions, mutual health insurance, RTT, employee shareholding, and co-optation bonuses.
- Dedicated disability support for employees with disabilities and family caregivers.
Tech Stack
AnsibleApache AirflowApache SparkAWSAzureBashDatabricksDockerDVCGitGitLab CI/CDGoogle Cloud PlatformGrafanaHelmJenkinsKubernetesMLflowPrometheusPythonSnowflakeSQLTerraform
Categories
About Talan
Talan is a Paris‑headquartered, privately held consulting and technology group that delivers data, AI, and IT services to large enterprises. It combines management consulting with systems integration, software engineering, and production support across sectors such as banking and financial services, energy, transport, retail, and healthcare. The firm operates internationally and supports clients’ end‑to‑end change programs, from CRM and agile transformations to architecture, application development, and run.