Senior Data Scientist · AVL Maroc SARL AU

Mon, 09 Mar 2026 09:29:01 GMT
Engineering

AVL Maroc SARL AU · Sala Al Jadida · onsite
Your job is to design, develop, and deploy end-to-end GenAI solutions, integrating AI into existing systems, applications, and business processes. You will implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies. Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services. Define and execute evaluation frameworks, apply security, compliance, and governance guidelines for GenAI implementations. Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices. Responsibilities: - Design, develop, and deploy end-to-end GenAI solutions (RAG, AI agents, agentic workflows, prompt engineering). - Integrate AI solutions into existing systems, applications, and business processes. - Implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies. - Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services. - Define and execute evaluation frameworks (hallucination metrics, A/B testing, offline/online validation). - Apply security, compliance, and governance guidelines for GenAI implementations. - Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices. Requirements: - Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field. - Very strong expertise in Python and software engineering (APIs, testing, code reviews). - Practical experience with RAG architectures, vector databases, and agentic AI workflows. - Hands-on experience deploying production-grade AI services. - Solid knowledge of Docker and CI/CD pipelines. - Understanding of ML fundamentals, evaluation concepts, and LLM behavior. - Familiarity with cloud environments (preferably Azure) and distributed systems. - Strong analytical and problem-solving skills. - Very good level of English. - Autonomous, reliable, and team-oriented mindset. What you will get: - A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions. - Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment. - Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps. - A team where your input and technical decisions truly matter. - A competitive package and benefits.