Data Scientist

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Skills you'll use

What you'll do

• AI & ML Model Development:
• Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation.
• Develop and refine ML models, including supervised and unsupervised learning algorithms.
• Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots.
• Collaborate with AI Engineers to integrate models into enterprise applications.
• Data Handling & Preprocessing:
• Collect, clean, and preprocess data to ensure quality inputs for model training.
• Conduct exploratory data analysis (EDA) to uncover insights and inform model development.
• Work with Data Engineers to ensure smooth data pipelines and infrastructure.
• Model Evaluation & Optimization:

Who can apply

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• 1-3 years of experience in data science, machine learning, or AI-related roles.
• Hands-on experience with ML model development and deployment.
• Exposure to GenAI technologies, including LLMs and chatbot development, is a plus.
• Technical Skills:
• Proficient in Python and SQL for data manipulation and model development.
• Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques.
• Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage.
• Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus.

About Medline

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