PROBAYES

5 Jobs

84 Employees

About the Company

Since 2003, Probayes, the AI expert, has been working to improve your performance.
Referents on the whole value chain, we collaborate with all sectors.
We are multi-specialists, ready to serve you and your strategic challenges.
We shape with you your customized solution.

Thanks to our mastery of AI :
- Machine Learning and Deep Learning : prediction, Interpretability, clustering, recommendation
- Operational Research & Combinatorial Optimization : logistics & planning, industrial process, distribution networks, decision Making
- Computer vision & sensor fusion : perception of the environment, detection classification, tracking
- Natural Language Processing : perception, extraction, chatbot, document classification

Data scientists of Probayes immerse themselves in your domain and collaborate with your business experts to implement your tailor-made solution
Automotive industry - Defense - Energy - Finance - Health - Industry - Logistics & distribution

Together, we build your Artificial Intelligence solutions
Probayes Tailor-Made AI

More information: info@probayes.com

Listed Jobs

Company Name: PROBAYES
Job Title: Ingénieur Développeur Logiciel Python (Grenoble) F/H
Job Description: **Job title** Software Engineer – Python Developer **Role Summary** Collaborate with data scientists to design and deliver AI solutions that integrate machine‑learning models into production environments. Implement MLOps practices for automated deployment, monitoring, and continuous model management. Work closely with architects and fellow engineers to ensure performance, scalability, security, and data privacy, while fostering a culture of knowledge sharing and technical excellence. **Expectations** - Minimum of 5 years of higher education (Bachelor’s + Master’s or equivalent) in Computer Science or related field. - At least 3 years of professional software development experience, with a strong focus on Python. - Proven experience deploying AI/ML projects into production, managing model lifecycle and performance. - Hands‑on experience with SQL and NoSQL databases. - Familiarity with Docker, Git, and GitLab CI/CD pipelines. **Key Responsibilities** - Design and implement scalable, secure Python applications that serve AI and ML models. - Develop and maintain MLOps pipelines (CI/CD, model registry, monitoring, rollback). - Integrate solutions with existing data stacks (SQL/NoSQL, message brokers, batch/streaming pipelines). - Collaborate with architects to define software architecture (multi‑tier, microservices). - Mentor junior developers and contribute to technical community best‑practice sharing. - Engage with clients to understand requirements and communicate technical solutions. **Required Skills** - Proficiency in Python; ability to learn additional languages as needed. - Strong understanding of SQL & NoSQL database interactions. - Experience with containerization (Docker), source control (Git), and CI/CD (GitLab). - Knowledge of MLOps concepts: model versioning, monitoring, retraining pipelines. - Familiarity with cloud‑native technologies (AWS, Azure, or GCP) and orchestration tools (Kubernetes, Docker Swarm). - Exposure to Big Data technologies (Spark, Hadoop, Kafka, ELK) is a plus. **Required Education & Certifications** - Bachelor’s + Master’s (Bac+5) in Computer Science, Software Engineering, or equivalent. - Certified cloud or MLOps credentials (e.g., AWS Certified Solutions Architect, TensorFlow Developer) are advantageous but not mandatory.

Company Name: PROBAYES
Job Title: Ingénieur Développeur Logiciel Python (Paris) F/H
Job Description: Job title: Python Software Development Engineer Role Summary: Design, develop, and deploy AI/ML solutions in production environments, ensuring performance, scalability, security, and data privacy. Collaborate with data scientists, architects, and fellow developers to embed models into the existing Python, SQL/NoSQL, Docker, and Kubernetes stack. Implement MLOps practices for continuous deployment, monitoring, and model lifecycle management, and contribute to the technical community through knowledge sharing. Expactations: - Deliver production‑ready code that meets performance and security standards. - Work collaboratively with cross‑functional teams and communicate progress clearly. - Maintain rigorous documentation and adhere to coding and DevOps best practices. - Proactively learn and adapt to new technologies and methodologies. Key Responsibilities: - Design, develop, and test Python applications that embed ML models for clients. - Integrate models into scalable production pipelines using Docker, Kubernetes, and CI/CD tools. - Implement MLOps workflows: automated model training, deployment, monitoring, and rollback. - Manage data access with SQL and NoSQL databases, ensuring integrity and compliance. - Collaborate with system architects to define microservices and n‑tier architectures. - Participate in code reviews, pair programming, and technical knowledge transfer sessions. - Monitor production systems, troubleshoot issues, and optimize performance. - Contribute to best‑practice documentation, tooling, and internal tech talks. Required Skills: - Proficiency in Python (minimum 3 years of professional experience). - Experience deploying AI/ML projects to production (model serving, inference pipelines). - Knowledge of SQL and NoSQL databases. - Hands‑on with Docker, Git, GitLab CI. - Familiarity with Kubernetes, Docker Swarm, or similar container orchestration. - Understanding of DevOps principles and CI/CD pipelines. - Exposure to Big Data frameworks (Spark, Hadoop, Kafka, ELK) and cloud platforms (AWS, Azure, GCP) is a plus. - Basic knowledge of Ansible and configuration management. - Strong analytical, problem‑solving, and communication skills. - Ability to work autonomously, take initiative, and thrive in a team setting. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent (minimum Bac+5). - Relevant certifications in cloud (AWS, Azure, GCP) or MLOps are desirable but not mandatory.

Company Name: PROBAYES
Job Title: Data Engineer F/H
Job Description: **Data Engineer** **Role Summary** Develop and maintain big data systems and pipelines for AI/ML projects, ensuring efficient data processing and security while collaborating with data scientists. **Expactations** Minimum 3 years of experience in data engineering roles. **Key Responsibilities** - Design and develop scalable data management systems and pipelines for structured/unstructured data. - Optimize performance and scalability of data systems for batch and real-time processing. - Implement data security measures to prevent unauthorized access and data loss. - Collaborate with data scientists and engineers on AI/ML projects, sharing technical expertise. - Utilize cloud-native platforms (preferably AWS, Azure, GCP) and DevOps tools for deployment and CI/CD. **Required Skills** - Proficiency in Hadoop, Spark, Databricks, and Python programming. - Experience with SQL and NoSQL databases. - DevOps tools: Git, Docker, GitLab-CI. - Cloud platforms (AWS, Azure, GCP) experience preferred. - Problem-solving skills for analyzing complex datasets. - Cross-team collaboration and clear communication with stakeholders. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science or related field (Bac+5 minimum). - 3+ years in data engineering or similar technical roles.

Company Name: PROBAYES
Job Title: Architecte Logiciel F/H
Job Description: **Job Title** Software Architect (Male/Female) **Role Summary** Design, develop, and maintain AI, Big Data, and cloud‑native solutions, integrating machine‑learning models into industrial‑grade applications. Collaborate with project directors, data scientists, and engineering teams to deliver scalable, high‑performance systems. **Expectations** - Own the end‑to‑end architecture process: requirement gathering, solution design, implementation, and ownership. - Ensure solutions meet client needs, performance, reliability, and security standards. - Stay current with emerging technologies and champion best practices within the technical community. **Key Responsibilities** - Translate business and technical requirements into robust system architectures. - Lead the design and implementation of AI, Big Data, IoT, NLP, optimization, and related services using Python, C++, Java, Scala. - Develop, test, and deploy services in Docker/Kubernetes environments, leveraging CI/CD pipelines (GitLab‑CI, Ansible). - Maintain and optimize database solutions across SQL and NoSQL platforms. - Oversee data ingestion pipelines (batch & real‑time) via message brokers (Kafka) and data processing frameworks (Spark, Hadoop). - Build RESTful APIs and integrate front‑end components with JavaScript frameworks. - Drive DevOps practices: containerisation, orchestration (Kubernetes, Docker Swarm), and cloud native deployment on AWS/Azure. - Conduct technical workshops, knowledge sharing, and technology scouting for the engineering community. - Interface directly with clients to gather feedback, present solutions, and ensure satisfaction. - Mentor junior architects and engineers to elevate overall technical capability. **Required Skills** - 10+ years in software development/architecture. - Proven expertise in project‑level architecture design and implementation. - Strong command of at least one object‑oriented language: Python, C++, Java, or Scala. - Capable of rapidly mastering additional programming languages. - Extensive experience with relational and NoSQL databases. - DevOps proficiency: Docker, Ansible, GitLab‑CI, CI/CD pipelines. - Familiarity with Big Data technologies: Spark, Hadoop, Kafka, ELK stack. - Web‑development knowledge: JavaScript frameworks, RESTful APIs. - Orchestration skills: Kubernetes, Docker Swarm. - Cloud Native knowledge: AWS, Azure (or equivalent). - Exceptional written and verbal communication. - Autonomous, collaborative, meticulously detailed, and client‑facing mindset. **Required Education & Certifications** - Bachelor’s degree (Bac+5) or higher in Computer Science, Engineering, or a related field. - Minimum of 10 years’ professional experience in software architecture and development.

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