✨ AI Summary
Dicetek LLC is seeking a Data Scientist for a full-time position in Abu Dhabi, UAE. The role involves working with large datasets to solve business problems, including data collection, cleaning, preprocessing, and exploratory data analysis. Responsibilities include developing, training, and optimizing machine learning models, building end-to-end ML pipelines, and automating workflows using CI/CD and MLOps tools. The Data Scientist will collaborate with cross-functional teams to integrate models into applications and deliver solutions.
Key requirements include 5-8 years of experience in data science, machine learning, or AI, with expertise in various ML techniques and generative AI. Proficiency in Python/R and SQL, along with experience in data pipelines, big data tools, model serving, API development, and MLOps is crucial. Experience with cloud platforms like AWS, Google Cloud, or Azure is also expected. A Master's degree in Computer Science or a related field is mandatory.
Work with large and complex data sets to solve challenging business problemsCollect, clean, and preprocess large datasets for analysis & model trainingPerform exploratory data analysis (EDA) to uncover insights and inform model developmentDevelop, train, and optimize machine learning models using state-of-the-art algorithms and frameworksBuild end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deploymentAutomate workflows for model training, testin
Requirements
5 years of experience in data science, machine learning, or AI
Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
Strong proficiency in Python and/or R; familiarity with SQL for data querying
Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data tools
Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.
Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)
Educational qualifications: Master in Computer Science or a related field.
Skills
Machine Learning
Data Analysis
Python
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Description
Work with large and complex data sets to solve challenging business problemsCollect, clean, and preprocess large datasets for analysis & model trainingPerform exploratory data analysis (EDA) to uncover insights and inform model developmentDevelop, train, and optimize machine learning models using state-of-the-art algorithms and frameworksBuild end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deploymentAutomate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps toolsCollaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions