Data Scientist — ML/NLP & MLOps (Abu Dhabi)

Synechron; Abu Dhabi Emirate; Presencial; AED 250.000 - 400.000; Jornada completa

Descripción de la vacante

Synechron, a global technology consulting firm, is hiring for an immediate opening of Jr. Data Scientist in Abu Dhabi. The role requires 5–8 years hands-on experience in Data Science, ML, and AI solution development, with strong Python, Pandas, SQL, and NLP capabilities.

The ideal candidate will contribute to data engineering, model development, and production deployment within a dynamic team. Experience with Dataiku, Azure Databricks, MLflow, and MLOps is highly valued.

Formación

• Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
• 5+ years of hands-on experience in Data Science, Machine Learning, Predictive Analytics, and AI solution development.

Responsabilidades

• Develop and deploy ML models using Python, ML libraries, and Dataiku.
• Build and evaluate ML pipelines, feature engineering, and model monitoring.
• Collaborate with cross-functional teams to deliver AI solutions at scale.
• Implement MLops practices including versioning, retraining, and governance.
• Apply NLP techniques for text analytics and sentiment analysis.

Conocimientos

Python

Pandas

NumPy

Scikit-learn

XGBoost

TensorFlow

PyTorch

Azure Databricks

PySpark

MLflow

SQL

NLP

Sentiment analysis

Educación

Bachelor's degree in Computer Science/Info Systems/Data Science/Statistics/Math/Engineering

Master's degree preferred

Herramientas

Dataiku

MLflow

Azure Databricks

Databricks Model Serving

CI/CD pipelines

Descripción del empleo

Synechron, a global technology consulting firm, is hiring for an immediate opening of Jr. Data Scientist in Abu Dhabi. The role requires 5–8 years hands-on experience in Data Science, ML, and AI solution development, with strong Python, Pandas, SQL, and NLP capabilities.

The ideal candidate will contribute to data engineering, model development, and production deployment within a dynamic team. Experience with Dataiku, Azure Databricks, MLflow, and MLOps is highly valued.