Highlights
Hands-on experience with Databricks, AI/ML frameworks, data pipelines, and automation.
Description
Job Summary
pJoin our dynamic Data Platforms & Analytics team as a Data Platforms Intern. This role offers hands-on experience with cutting-edge technologies like Databricks, AI/ML frameworks, and emerging GenAI tools. You will assist in developing data pipelines, support ML model design, contribute to automation scripts, create dashboards, and maintain high-quality data standards.
Responsibilities
- Develop and maintain data pipelines using Databricks (PySpark/SQL).
- Support the design, training, and evaluation of AI/ML models.
- Create or support dashboards and visualizations using Power BI/Tableau (preferred).
- Contribute to automation scripts and workflow optimization.
- Collaborate with engineers to maintain high-quality data standards.
Required Skills
- Data Engineering
- Python Programming
- Machine Learning Basics
- Databricks
- Visualization Tools (Power BI/Tableau)
Required Skills Explained
- Python, PySpark or SQL - Essential for data manipulation and pipeline development.
- Generative AI knowledge - Understanding of LLMs, embeddings, and vector stores can help in developing advanced AI models.
- Agentic AI concepts - Familiarity with AI agents and tool orchestration is beneficial for complex project management.
- BI/reporting tools like Power BI or Tableau - Useful for creating visual dashboards and ensuring data quality standards are maintained.
- Machine Learning frameworks - Basic understanding of scikit-learn, TensorFlow, or PyTorch can enhance model training and evaluation skills.
Who is this for
pThis role is ideal for students currently pursuing or recently graduated with a degree in Computer Science, Data Science, Engineering, or related fields. You should have strong analytical and problem-solving skills, be self-driven to learn new technologies, and enjoy working in teams.
Why This Job is a Good Opportunity
ulliHands-on experience with emerging technologies such as Databricks and GenAI tools.liOpportunity to work in a high-impact role that supports real-world data engineering and machine learning projects.liCollaborative environment where you can learn from experienced professionals in the field.liAccess to cutting-edge tools and technologies, enhancing your skill set for future career opportunities.
Interview Preparation Tips
- Research Waters Corporation’s mission and values to understand how they align with your career goals.
- Prepare examples of projects where you have applied data engineering or machine learning techniques effectively.
- Showcase your curiosity and passion for AI/ML technologies by discussing recent developments in the field.
- Highlight specific tools (e.g., Databricks, Power BI) you are proficient in using.
Career Growth in This Role
pThis internship provides a solid foundation for a career in data engineering or machine learning. You can transition into roles such as Data Engineer, Machine Learning Engineer, or Data Analyst after gaining practical experience and networking within the company. The exposure to cutting-edge technologies and collaboration with experienced professionals will help you develop a competitive edge.pThe skills you acquire, including hands-on experience with Databricks, AI/ML frameworks, and data visualization tools, are highly valued in the industry. These competencies can lead to more advanced roles that involve leading complex projects or conducting research in cutting-edge technologies like Generative AI.
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Skills
Frequently Asked Questions
What is the duration of this internship?The internship typically lasts for 6 months, but can be flexible depending on your academic schedule.
Are there any specific technologies I need to know beforehand?While not mandatory, familiarity with Python, PySpark, and basic ML concepts is preferred. We provide training where needed.
What kind of projects will I be working on?You will work on developing data pipelines, supporting AI/ML model development, and creating dashboards for real-world applications.
