Data Scientist

6 days ago

Dubai, Dubai, United Arab Emirates Teliolabs Communications Inc. Full time
Job Description

We are hiring for a Client in Dubai who is actively looking for Data Platform Architects. Candidates who are currently in Dubai can only apply.

Job Summary:

We are looking for a highly skilled AI/ML Data Scientist to develop and deploy advanced machine learning models, optimize AI-driven solutions, and enhance data-driven decision-making. The ideal candidate should have a strong background in data science, machine learning, deep learning, and statistical analysis, along with experience in cloud computing, big data platforms, and MLOps workflows.

Key Responsibilities:

- Develop and Implement AI/ML Models for predictive analytics, automation, and intelligent decision-making.
- Analyze Large Datasets using statistical and machine learning techniques to extract valuable insights.
- Optimize and Scale ML Pipelines for real-time and batch processing in production environments.
- Deploy AI Models on Cloud Platforms such as AWS, GCP, or Azure using MLOps practices.
- Collaborate with Data Engineers to ensure seamless integration of AI/ML models into enterprise data platforms.
- Design and Optimize Feature Engineering techniques to enhance model performance.
- Implement Explainable AI (XAI) Practices to ensure model transparency and fairness.
- Ensure Data Quality and Integrity through rigorous data validation and preprocessing steps.
- Utilize Open-Source ML Libraries and Frameworks, including TensorFlow, PyTorch, Scikit-learn, and XGBoost.
- Develop and Maintain AI/ML Pipelines using tools such as Apache Airflow, MLflow, and Kubeflow.
- Research and Innovate new AI/ML methodologies to improve business processes and automation.
- Monitor Model Performance and Drift, ensuring continuous optimization and re-training.
- Support Data Science Initiatives by mentoring junior data scientists and collaborating with cross-functional teams.

Required Skills & Qualifications:

- 10+ years of experience in data science, machine learning, and AI model development.
- Strong Expertise in Machine Learning Algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in Programming Languages such as Python, SQL.
- Hands-on Experience with ML Frameworks, Open Source libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.
- Experience with Cloud AI Services, such as AWS SageMaker, and platforms such as Data bricks, Snowflakes.
- Deep Knowledge of MLOps Practices, including CI/CD for ML, model versioning, and monitoring.
- Strong Understanding of Data Technologies, including Spark and distributed computing.
- Experience in Natural Language Processing (NLP), CNN , and Deep Learning Techniques.
- Familiarity with AI Ethics, Bias Mitigation, and Explainable AI (XAI).
- Knowledge of Databases and SQL for data retrieval and preprocessing.
- Strong Analytical and Problem-Solving Skills to derive insights and optimize AI/ML solutions.

Preferred Qualifications:

- Bachelors or Masters degree in Data Science, AI, Machine Learning, or a related field.
- Experience with Generative AI, LLMs (Large Language Models), and Transformer Architectures.
- Familiarity with Kubernetes, Docker, and containerized ML deployments.
- Exposure to Graph Neural Networks, Time Series Forecasting, and Edge AI.
- Certification in AWS, Google, or Azure AI/ML platforms.

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