Data Scientist
il y a 2 jours
Location:
Casablanca
Type:
Full-time
Experience Level:
Mid–Senior
About the Role
We're looking for a
Data Scientist specialized in Generative AI and Prompt Engineering
to design, fine-tune, and deploy intelligent agentic systems across our AI product ecosystem. You'll work on cutting-edge projects leveraging models such as
GPT-5, DeepSeek, Claude, Gemini, and Mistral
, integrating them with
LangChain, n8n, and custom orchestration flows
to create scalable multi-agent applications.
Key Responsibilities
- Design, fine-tune, and evaluate
LLM-based models
for real-world tasks (content generation, reasoning, classification, recommendation, etc.) - Develop and optimize
prompt architectures
, function-calling schemas, and tool-augmented reasoning flows. - Build
agentic AI pipelines
using
LangChain, n8n, or similar frameworks
for automation, retrieval-augmented generation (RAG), and task orchestration. - Integrate
external APIs and data sources
(search, CRM, analytics) into AI workflows. - Collaborate with engineers to
productionize and monitor
GenAI services (FastAPI, Docker, vector databases, etc.). - Research and benchmark new foundation models (e.g.,
DeepSeek, Claude, Gemini, LLaMA 3, Mistral
). - Contribute to continuous improvement of model performance, latency, and cost optimization.
Requirements
- Strong background in
Python
,
machine learning
, and
LLM APIs
(OpenAI, Anthropic, DeepSeek, Google, etc.) - Experience with
LangChain
,
LlamaIndex
, or
n8n
for building agentic flows. - Solid understanding of
prompt engineering, embeddings, RAG pipelines, and model evaluation metrics
. - Hands-on with
FastAPI
,
Pydantic
,
Docker
, and
vector databases
(Pinecone, Chroma, Weaviate, etc.) - Familiarity with
data analysis and NLP
(transformers, fine-tuning, token optimization). - Excellent problem-solving, research, and communication skills.
Nice to Have
- Experience training or fine-tuning
LLMs or multimodal models
. - Familiarity with
workflow automation
(Zapier, Make, n8n) and
AI agents orchestration
. - Exposure to
real estate, e-commerce, or lead intelligence
domains.
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