**Company Description** Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists works daily to deliver digital impact for businesses, public sector entities, and society at large. Inetum’s solutions aim to enhance customer performance and innovation, as well as contribute to the common good. Present in 19 countries with an extensive network of delivery centers, Inetum partners with leading software vendors to tackle digital transformation challenges with proximity and flexibility. **Job Description** We are seeking professionals with degrees in Systems Engineering, Electronics, or related fields, possessing over 4 years of experience in data engineering projects and developing scalable solutions for data processing, including hands-on experience building and optimizing machine learning models, process automation, and data visualization. Responsibilities: * Design, develop, and deploy ML and LLM applications, and perform performance tuning to ensure model scalability * Design, structure, and standardize data objects for easy reuse and cross-functional functionality * Integrate ML models and multicloud services into enterprise applications * Evaluate ML and LLM models using advanced metrics (where applicable), ensuring continuous operation and monitoring of ML / Gen AI infrastructure * Implement guardrails to prevent bias in Gen AI models (in collaboration with Data Science) * Deploy and optimize inference processes on AWS * Productize DATA outputs via APIs * Apply best development practices aligned with technological standards and Data Engineering strategies. **Requirements** * Programming: Proficiency in Python (TensorFlow, PyTorch, LangChain), API connectivity, FASTAPI * AWS Services: AWS SageMaker, Lambda, Step Functions * Orchestration: CI/CD pipeline knowledge using Jenkins * Databases: OpenSearch, DynamoDB, S3 * Data Processing: Spark, SQL, Pandas, Polars * Containers: Podman for containers on App Runner * AI Skills: Prompt engineering, RAG * Monitoring: AWS CloudWatch, AWS CloudTrail **Additional Information** **Key Soft Skills** * Analytical ability to interpret and transform large volumes of data into reliable, reusable assets. * Ability to document processes and communicate clearly to both technical and business audiences. * Proactivity in proposing improvements to existing data architectures and processes. * Assertive communication to interact effectively with technical teams and business units. * Collaborative leadership and ability to positively influence teams and projects. * Analytical thinking and focus on solving complex problems. * Proactivity in identifying risks and proposing continuous improvements. * Organizational and time management skills to handle multiple tasks simultaneously.