Data Scientist – MLOps

The company is currently looking for a Data Scientist – MLOps for our UAE operations. The ideal candidate will have a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field and 3-4 years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on model deployment. Proven experience deploying ML, DL, and GenAI models in production environments is essential.

Responsibilities:

Data Science & Analytics:

• Develop data science solutions using traditional ML and modern modeling techniques.
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing for model development.
• Define measurable success metrics, including accuracy, precision, recall, throughput, and latency.

Machine Learning Model Development:

• Build, test, and validate supervised and unsupervised ML models using best practice methodologies.
• Evaluate multiple algorithms and optimize hyperparameters to improve model robustness.
• Maintain documentation and ensure model interpretability where applicable.

MLOps - End to End Model Deployment:

• Lead deployment of ML/AI models into production using CI/CD, automation, and containerized workflows.
• Develop reproducible ML pipelines for training, testing, serving, and monitoring.
• Implement scalable APIs and microservices for model inference.

Generative AI / LLMs Deployment:

• Deploy LLM-powered applications, including prompt-based models, fine-tuned models, and RAG systems.
• Build scalable back-end infrastructure for hosting LLMs using Azure OpenAI, Hugging Face, or equivalent platforms.

Microsoft Automation & Engineering:

• Develop automation scripts (Python/CLI) to optimize data pipelines, monitoring, alerts, and deployment workflows.

Terms and Conditions:

• Joining time frame: 15 - 30 days.
• The selected candidates shall join the company - UAE and shall be deputed to one of the leading organizations in UAE.