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

• Support the evaluation and continuous improvement of GenAI solutions based on performance, accuracy, and customer requirements.
• Support the full machine learning model lifecycle, including experiment tracking, model versioning, packaging, deployment, monitoring, and retraining.
• Apply ModelOps/MLOps practices and tools such as MLflow, model registries, CI/CD pipelines, and containerized model serving.
• Monitor deployed models for drift, performance degradation, and data quality issues.
• Assist in developing monitoring, alerting, and remediation processes to maintain model performance in production environments.
• Collaborate with DevOps and engineering teams to support the reliable deployment and operation of AI solutions.
• Work closely with Data Engineers, ML Engineers, DevOps Engineers, and Application Developers to integrate models into end-to-end enterprise solutions.
• Support the development of APIs and lightweight applications to expose machine learning models and GenAI capabilities where required.

About ZainTECH

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