Looking for a Data Science Intern with a Focus on Basic LLM and AI Tools
About Us:
At ProjectPro, we are on a mission to revolutionize the data science and engineering space by providing reusable templates for real-world projects. We empower learners and professionals alike to bridge the gap between theory and practice, offering hands-on experience with cutting-edge tools and technologies. As a team, we thrive on innovation, collaboration, and the drive to create impactful solutions. By joining us, you'll be part of an exciting journey where you'll work on projects that make a real difference, leveraging AI tools to push the boundaries of what's possible.
Job Description:
Are you someone who loves to figure things out on your own? Do you have a solid foundation in Python , Data Science and a knack for navigating documentation and resolving errors? Are you curious about prompt engineering, Large Language Models (LLMs), and the basics of cloud frameworks? If so, you might be the perfect fit for our Data Science Intern position!
In this role, you'll collaborate with our experienced team to create and implement innovative projects using AI tools. While you don't need to be an expert, we expect you to be resourceful, eager to learn, and capable of figuring things out independently. This is an excellent opportunity to gain hands-on experience in the field of data science, work on real-world projects, and develop your skills in a supportive and dynamic environment.
Required Skills:
Python: Strong understanding of Python programming, including libraries such as Pandas, NumPy, and requests.
API Integration: Basic knowledge of working with APIs to connect and interact with various services.
Data Science and Machine Learning: Understanding of data analysis, science and machine learning with working knowledge of libraries like scikit learn, pandas etc.
Documentation & Troubleshooting: Ability to read and understand technical documentation and debug code issues effectively.
Prompt Engineering & LLMs: Familiarity with the basics of prompt engineering and Large Language Models.
Cloud Frameworks: Basic understanding of cloud platforms (e.g., AWS, Azure) and their core services.
Problem-Solving: Resourceful and capable of figuring things out independently with a strong desire to learn.
What You Will Gain:
Hands-On Experience: Work on real-world projects that make a tangible impact.
Skill Development: Gain practical experience in Python, AI tools, prompt engineering, and cloud frameworks.
Mentorship: Receive guidance and mentorship from experienced professionals in the field.
Collaborative Environment: Join a team that values creativity, innovation, and continuous learning.
Apply Now
At ProjectPro, we are on a mission to revolutionize the data science and engineering space by providing reusable templates for real-world projects. We empower learners and professionals alike to bridge the gap between theory and practice, offering hands-on experience with cutting-edge tools and technologies. As a team, we thrive on innovation, collaboration, and the drive to create impactful solutions. By joining us, you'll be part of an exciting journey where you'll work on projects that make a real difference, leveraging AI tools to push the boundaries of what's possible.
Job Description:
Are you someone who loves to figure things out on your own? Do you have a solid foundation in Python , Data Science and a knack for navigating documentation and resolving errors? Are you curious about prompt engineering, Large Language Models (LLMs), and the basics of cloud frameworks? If so, you might be the perfect fit for our Data Science Intern position!
In this role, you'll collaborate with our experienced team to create and implement innovative projects using AI tools. While you don't need to be an expert, we expect you to be resourceful, eager to learn, and capable of figuring things out independently. This is an excellent opportunity to gain hands-on experience in the field of data science, work on real-world projects, and develop your skills in a supportive and dynamic environment.
Required Skills:
Python: Strong understanding of Python programming, including libraries such as Pandas, NumPy, and requests.
API Integration: Basic knowledge of working with APIs to connect and interact with various services.
Data Science and Machine Learning: Understanding of data analysis, science and machine learning with working knowledge of libraries like scikit learn, pandas etc.
Documentation & Troubleshooting: Ability to read and understand technical documentation and debug code issues effectively.
Prompt Engineering & LLMs: Familiarity with the basics of prompt engineering and Large Language Models.
Cloud Frameworks: Basic understanding of cloud platforms (e.g., AWS, Azure) and their core services.
Problem-Solving: Resourceful and capable of figuring things out independently with a strong desire to learn.
What You Will Gain:
Hands-On Experience: Work on real-world projects that make a tangible impact.
Skill Development: Gain practical experience in Python, AI tools, prompt engineering, and cloud frameworks.
Mentorship: Receive guidance and mentorship from experienced professionals in the field.
Collaborative Environment: Join a team that values creativity, innovation, and continuous learning.
Apply Now