ALTER SOLUTIONS FRANCE

4 Jobs

620 Employees

About the Company

The Alter Solutions Group is an IT Consultancy group, promoter of Digital Transformation, created in 2006, in Paris.

In 2022, Alter Solutions joined the act digital group, constituting a global community of talent in Technology, with presence in thirteen countries: Germany, Belgium, Brazil, United States of America, Canada, Morocco, Mexico, Spain, France, Luxembourg, Poland, Portugal and Serbia. In 2023, we were recertified as a Great Place to Work®.

Know more about Life at Alter: https://www.linkedin.com/company/alter-solutions-group/life/altersolutionsgroup

Listed Jobs

Company Name: ALTER SOLUTIONS FRANCE
Job Title: AI Platform Engineering
Job Description: **Job Title** AI Platform Engineer **Role Summary** Design, operate, and continuously improve a Kubernetes/OpenShift‑based AI platform that deploys, monitors, and manages machine‑learning models in production. Ensure reliability, scalability, and security while automating model lifecycle through CI/CD pipelines and MLOps tooling. **Expectations** - Join the Digital Transformation Division supporting an industrial client. - Work in an agile team focused on delivering stable AI platform operations. - Maintain day‑to‑day platform health, apply upgrades, and troubleshoot issues. - Automate and optimize model deployment, scaling, retraining, and inference workflows. **Key Responsibilities** 1. **Platform Operations** – Monitor cluster health, manage upgrades, and apply configuration changes. 2. **Model Deployment & Supervision** – Deploy models in Kubernetes/OpenShift, automate scaling, manage resource allocation, and oversee operational metrics. 3. **CI/CD Pipeline Management** – Build and maintain Tekton/Kubeflow pipelines for training, retraining, inference, and related tasks; integrate version control, artifact repositories, and automated testing. 4. **Troubleshooting** – Diagnose pod crashes, resource contention, pipeline failures, and implement corrective actions. 5. **Customization & Security** – Build and rebuild custom runtime images, integrate third‑party libraries, and enforce security policies and compliance in all production environments. 6. **Collaboration** – Work closely with data scientists, DevOps, security, and client teams to align platform capabilities with business objectives. **Required Skills** - **Container & Orchestration**: Docker, Kubernetes (OpenShift preferred). - **DevOps & IaC**: Terraform, Helm, Ansible, GitOps workflows. - **CI/CD & MLOps**: Tekton, Kubeflow, Elyra, LLM tooling. - **Programming**: Python, Go. - **ML Frameworks**: PyTorch, TensorFlow, or equivalent. - **Tooling**: Artifactory, Prometheus, Grafana, security scanning tools. - **Soft Skills**: Problem‑solving, collaboration in cross‑functional, agile environments, effective communication in English. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, DevOps, or related field. - Professional certifications (CKA/CKAD, Docker Certified Associate, CNCF Cloud Native Associate, or MLOps Practitioner) are preferred.

Marignane, France

Hybrid

09-03-2026

Company Name: ALTER SOLUTIONS FRANCE
Job Title: Senior Business Analyst
Job Description: Job Title: Senior Business Analyst Role Summary: Lead business analysis for advanced AI-driven solutions, bridging stakeholders, data scientists, and IT developers. Translate complex requirements into detailed mock‑ups, data models, and UI designs while ensuring GDPR and AI regulatory compliance. Expectations: - Deliver end‑to‑end analysis and design for AI and BI solutions. - Maintain high data quality and governance standards. - Act as liaison between business, technical, and compliance teams. - Produce clear, actionable documentation and validate solutions through UAT. Key Responsibilities: - Gather and document business requirements; conduct workshops with stakeholders. - Evaluate existing and emerging AI/ML/Bio‑intelligence solutions; recommend suitable technologies. - Develop application mock‑ups using design tools, ensuring alignment with user needs and business objectives. - Analyze large datasets to extract actionable insights and support decision-making. - Ensure GDPR compliance and adherence to evolving AI regulations throughout data processing. - Facilitate communication between business users, data scientists, and developers. - Conduct user acceptance testing to confirm business and technical needs are met. - Design and prototype presentation interfaces focused on usability and UX. - Build data models tailored to problem statements; define data controls and quality measures. - Contribute to the architecture of analytics solutions, covering performance, capacity, and physical design. - Produce comprehensive documentation for tasks and cross‑project coordination. - Collaborate with data stewards and IT to establish data rules and governance. Required Skills: - Deep knowledge of machine learning algorithms, techniques, and large‑language models (LLM). - Expertise in predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling, plagiarism detection, anomaly detection, and recommendation systems. - Proficiency with graph databases. - Strong UI/UX design capabilities. - Solid command of analytical and modeling tools (use case, state, entity‑relationship, interaction diagrams). - Familiarity with BPMN, UML, or equivalent modeling standards. - Experience using collaborative platforms (wiki, other). - Ability to analyze large volumes of data, ensure data quality, and implement governance controls. - Excellent stakeholder communication and documentation skills. Required Education & Certifications: - Not specified in job description. ---

Company Name: ALTER SOLUTIONS FRANCE
Job Title: Ingénieur Validation & Qualité des données Data
Job Description: **Job Title**: Data Validation & Quality Engineer **Role Summary**: Design, execute, and maintain data validation and quality assurance processes for large-volume data projects within an Agile team. Ensure data integrity, performance, and reliability across production environments, and collaborate with development, product, data, and operations stakeholders. **Expactations**: - Deliver end‑to‑end validation strategy and test campaigns (functional, data, automated). - Plan and run validation cycles in Agile sprints. - Define test scenarios to guarantee data consistency and integrity. - Manage test backlog and traceability of requirements. - Develop and maintain automated test tools for high-volume data. - Automate production data quality checks. - Analyze test results, detect anomalies, and coordinate resolution. - Set and monitor data quality and reliability metrics. - Use observability tools to investigate incidents (Splunk, Datadog, etc.). - Verify data flow performance and consistency in production. **Key Responsibilities**: - Craft validation strategy and test plans (functional, data, automation). - Execute validation cycles in Agile, attend daily stand‑ups, sprint planning, and retrospectives. - Create and maintain automated tests (Mocha, Cypress, Node.js). - Automate data quality checks in production. - Analyze and document test findings; track defect resolution with engineering teams. - Establish data quality and reliability KPIs. - Monitor system behavior with observability tools. - Investigate incidents using Splunk, Datadog, or equivalents. - Collaborate closely with Dev, Data, Product, and Ops teams. **Required Skills**: - Agile test planning and backlog management. - Automated testing frameworks (Mocha, Cypress, Node.js). - Data validation in Snowflake (massive data queries). - Cloud data platform experience (AWS). - MongoDB, AWS, Splunk, Datadog knowledge. - Jira / Confluence proficiency. - Strong analytical and problem‑solving skills. - English fluency. **Required Education & Certifications**: - Bachelor’s or Master’s degree (Bac+5) in Computer Science, Engineering, or equivalent. - Professional experience in QA, validation, or data testing. - Experience in IVVQ, QA automation, or data validation. - Experience working in Agile environments. - Understanding of modern data architectures (cloud, data platform).

La ciotat, France

Hybrid

16-03-2026

Company Name: ALTER SOLUTIONS FRANCE
Job Title: Ingénieur DevSecOps
Job Description: **Job Title:** DevSecOps Engineer **Role Summary:** Design, develop, and maintain automated tools and applications for a telecom‑sector CERT team. Ensure robust, high‑quality code, CI/CD pipeline integration, and comprehensive documentation to support threat intelligence, vulnerability coordination, and operational tooling. **Expectations:** - Minimum 5 years of professional Python development experience. - Strong emphasis on code quality, test coverage, and process industrialization. - Ability to analyze requirements, propose technical solutions, and produce clear documentation and reports. **Key Responsibilities:** - Develop, optimize, and maintain Python scripts that automate internal CERT processes. - Design and implement performant applications meeting functional needs of Anticipation teams. - Create and maintain technical architecture diagrams and functional specifications. - Integrate and orchestrate CI/CD pipelines (GitLab) to ensure reliable, repeatable releases. - Evaluate internal needs and recommend appropriate technical solutions. - Monitor development progress, enforce code quality standards, and ensure test coverage. - Participate in production rollout and ongoing industrialization of existing processes. - Generate regular technical reports and summaries for internal stakeholders. **Required Skills:** - Expert‑level Python development and best‑practice adherence. - Proficiency with CI/CD tools, especially GitLab pipelines. - Solid understanding of network and server infrastructures. - Experience in automated functional testing, coverage analysis, and test industrialization. - Familiarity with cloud environments and DevOps practices. - Strong documentation, reporting, and structured communication abilities. **Required Education & Certifications:** - Bachelor’s/Master’s degree (or equivalent) in Computer Science, Software Engineering, or related field (minimum Bac+5 / 5‑year engineering program). - Relevant certifications (e.g., Certified DevSecOps Engineer, AWS/Azure/GCP fundamentals) are a plus but not mandatory.