Ai & Ml Analytics - Intern
hace 2 semanas
**AstraZeneca** is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases.
In line with our firm commitment to training and developing exceptional talent, this person will join our **IT Rare Disease Unit** to learn and grow through active collaboration with our **Data Insights & Analytics team**.
**Conditions**:
**Duration**:1 year
**Hours per day**:Full time
**Location**:Barcelona
**Focus area**:Artificial Intelligence and Analytics
**Training through practical experience**:
As part of your responsibilities, you may provide assistance in the following tasks:
- Data exploration and profiling.
- Feature engineering.
- AI model training and evaluation.
- ML Model deployment and pipeline orchestration.
- LLM prompt Engineering.
- Improve internal tools.
**Requirements**:
You will need to have:
- Master's dregree in AI/ML, Data Science or similar.
- Capability to engage in business and data analysis/discovery.
- Programming skills in Python and common Data Science frameworks such as NumPy, pandas and scikit-learn.
- Understanding of relational databases and SQL language.
- Basic understanding of software development practices and Python programming.
We would prefer for you to have:
- Familiarity with deep learning frameworks such as pyTorch, TensorFlow and hugging-face.
- Knowledge of Agile methodologies and tools such as SCRUM and Jira.
- Proficiency in writing technical documentation and familiarity with tools like Confluence and Notion.
- Familiarity with Data Engineering methodologies and flows.
- Familiarity with CICD methodologies and tools such as Jenkins and GitHub Actions.
- Effective communication skills, with the ability to explain technical concepts in simple terms.
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