DATA SCIENTIST

**HIRING – DATA SCIENTIST** **Location:** Dhahran, Saudi Arabia **Experience:** 6–14 Years **Mind Stream** is seeking a highly skilled and experienced **Data Scientist** to join our growing team. The successful candidate will play a key role in developing, productionizing, and scaling advanced **AI and Machine Learning solutions**, ranging from **Agentic AI workflows** to **Time\-Series Forecasting and Anomaly Detection models**. **Key Responsibilities** * Design and deploy **Generative AI (GenAI)** solutions using **LLMs, RAG, and Vector Databases**. * Build multi\-agent AI applications using **LangGraph, LangChain, CrewAI, and AutoGen**. * Develop and deploy **Time\-Series Forecasting and Anomaly Detection** models. * Productionize ML models using **Python, FastAPI, MLflow, Docker, and Kubernetes**. * Collaborate on cloud infrastructure for AI/ML model deployment, scaling, and performance optimization. * Implement and maintain **MLOps practices** for end\-to\-end machine learning lifecycle management. **Requirements** * **6–14 years of professional experience** in Data Science, Machine Learning, or a related field. * Strong programming skills in **Python** with hands\-on experience using **FastAPI**. * Experience with **GenAI technologies, LLMs, prompt engineering, RAG, and embeddings**. * Familiarity with **Agentic AI frameworks and multi\-agent workflows**. * Hands\-on experience with **Docker, Kubernetes, and CI/CD pipelines**. * Knowledge of **Cloud Platforms** and **MLOps practices**. * Strong analytical, problem\-solving, and communication skills. Application Question(s): * How many years of professional experience do you have in Data Science, Machine Learning, or Artificial Intelligence? * How many years of hands\-on experience do you have with Python? * Do you have professional experience developing APIs using FastAPI? * What is your level of experience with GenAI, LLMs, RAG, prompt engineering, and embeddings? * Do you have hands\-on experience developing multi\-agent AI applications or agentic workflows? * Do you have experience developing Time\-Series Forecasting or Anomaly Detection models? * Do you have hands\-on experience with MLflow, Docker, and Kubernetes? * Do you have experience with CI/CD pipelines and MLOps practices? * Which cloud platforms have you worked with? (AWS / Azure / GCP / Other) * Have you productionized and deployed Machine Learning or AI models at scale? * Are you willing to work full\-time in Dhahran, Saudi Arabia? * What is your notice period or earliest joining date? * What is your current and expected monthly salary in SAR? Work Location: In person