Data Scientist - TAX Free
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Key skills for this role
About the Role
A client in Abu Dhabi is hiring Data Scientists to design and deploy scalable machine learning models and AI solutions. You will work with large datasets, build ML pipelines, and collaborate with cross-functional teams.
Key Skills for This Role
Responsibilities
- Work with large, complex datasets to solve real world business problems
- Collect, clean, and preprocess data for analysis and model training
- Perform exploratory data analysis (EDA) to uncover insights and guide model development
- Build, train, and optimize machine learning models using modern algorithms and frameworks
- Develop end to end ML pipelines, from data ingestion to model deployment
- Automate model training, testing, and deployment using CI/CD and MLOps tools
- Collaborate with cross functional teams to integrate models into production systems and deliver complete solutions
Requirements
- 5+ years of experience in data science, machine learning, or AI
- Strong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs)
- Proficiency in Python, with working knowledge of SQL
- Experience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop)
- Understanding of model serving, APIs (FastAPI, Flask), and optimizing models for real time or batch inference
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow
- Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. SageMaker, Vertex AI)
- Bachelor’s degree in Computer Science, Engineering, or a related field
Full Job Posting
Job Overview
- We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.
- In this role, you’ll design and develop scalable machine learning models and AI driven solutions that tackle complex business challenges and support smarter decision making.
Key Responsibilities
- Work with large, complex datasets to solve real world business problems
- Collect, clean, and preprocess data for analysis and model training
- Perform exploratory data analysis (EDA) to uncover insights and guide model development
- Build, train, and optimize machine learning models using modern algorithms and frameworks
- Develop end to end ML pipelines, from data ingestion to model deployment
- Automate model training, testing, and deployment using CI/CD and MLOps tools
- Collaborate with cross functional teams to integrate models into production systems and deliver complete solutions
What we’re looking for
- 5+ years of experience in data science, machine learning, or AI
- Strong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs)
- Proficiency in Python, with working knowledge of SQL
- Experience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop)
- Understanding of model serving, APIs (FastAPI, Flask), and optimizing models for real time or batch inference
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow
- Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. SageMaker, Vertex AI)
- Bachelor’s degree in Computer Science, Engineering, or a related field
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