DATA SCIENTIST / MACHINE LEARNING ENGINEER

Client of Alpha Data Recruitment; Abu Dhabi; On-site; AED 180,000 - 360,000; Full time

Job summary

Client of Alpha Data Recruitment is seeking a data science/ML engineer to design, develop and optimize machine learning and deep learning models; build NLP solutions with transformer models; and design data pipelines for both structured and unstructured data.

You will deploy and manage models using REST APIs, Docker and MLflow; collaborate with cross-functional teams to deliver scalable data-driven solutions; and perform time-series forecasting, predictive analytics and anomaly detection with

Qualifications

• Experience with Python, ML and DL including statistics.
• Proficiency with TensorFlow, PyTorch and Scikit-learn.
• Expertise in NLP, transformers, Hugging Face and spaCy.
• Proficient in SQL, Pandas and Spark.
• Experience deploying models via REST APIs, Docker and MLflow.

Responsibilities

• Develop and optimize machine learning and deep learning models.
• Build NLP solutions using transformer models and modern AI frameworks.
• Design data pipelines for structured and unstructured datasets.
• Deploy and manage ML models using REST APIs Docker and MLflow.
• Perform time-series forecasting, predictive analytics and anomaly detection.

Skills

Python

Machine Learning

Deep Learning

Statistics

TensorFlow

PyTorch

Scikit-learn

NLP

Transformers

Hugging Face

spaCy

SQL

Pandas

Apache Spark

Tools

Docker

REST APIs

MLflow

Job description

This role involves developing and optimizing machine learning and deep learning models to build intelligent solutions that address real-world challenges The candidate will design data pipelines deploy ML models and collaborate with cross-functional teams to deliver scalable data-driven solutions

Key Responsibilities

• Develop and optimize machine learning and deep learning models
• Build NLP solutions using transformer models and modern AI frameworks
• Design data pipelines for structured and unstructured datasets
• Deploy and manage ML models using REST APIs Docker and MLflow
• Perform time-series forecasting predictive analytics and anomaly detection

Qualifications amp Requirements

• Python Machine Learning Deep Learning and Statistics
• TensorFlow PyTorch and Scikit-learn
• NLP Transformers Hugging Face and spaCy
• SQL Pandas and Apache Spark
• Docker REST APIs and MLflow