Junior Data Scientist

About this role

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Skills you'll use

What you'll do

• Machine Learning & Data Science
• Develop, train, test, and evaluate machine learning models for classification, regression, forecasting, NLP, and other enterprise use cases under the guidance of senior team members.
• Perform data preparation, exploratory data analysis, feature engineering, and model evaluation to support the development of effective data science solutions.
• Build and maintain reproducible pipelines for data preparation, feature engineering, and model training.
• Apply statistical techniques and appropriate model evaluation methodologies to validate solution performance and business relevance.
• Generative AI & Emerging Technologies
• Contribute to the development of Generative AI solutions using Large Language Models (LLMs) and foundation models.
• Support prompt engineering, embeddings, vector databases, Retrieval-Augmented Generation (RAG) pipelines, and LLM evaluation.
• Integrate foundation models, including Azure OpenAI and open-source LLMs, into enterprise applications and workflows.
• Gain hands-on experience with modern GenAI frameworks such as LangChain, LangGraph, and related technologies.

Who can apply

• Up to 3 years of hands-on experience in data science, machine learning, or a related field. Relevant internships and significant academic or personal projects will be considered.
• Strong Python programming skills and familiarity with common data science and machine learning libraries, including: pandas, scikit-learn, PyTorch and/or TensorFlow.
• Working knowledge of ModelOps/MLOps concepts and tools, including experiment tracking, model registries, CI/CD for machine learning, containerized model serving, and model monitoring.
• Practical exposure to Generative AI concepts and technologies, including: LLM APIs, Prompt engineering, Embeddings and vector databases, RAG architectures, LangChain, LangGraph, or similar frameworks.
• Solid understanding of statistics, experimental design, and model evaluation methodologies.
• Proficiency in SQL with the ability to work with structured and unstructured data.
• Good written and verbal communication skills in English, with the ability to explain technical concepts and results to non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline.

About ZainTECH

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