What are the responsibilities and job description for the Data Science/AI/ML Intern position at Hillpointe?
Hillpointe is a fully integrated real estate development and investment management firm focused on developing market-rate workforce housing across the Sun Belt. Ranked at the top of NMHC's Builders and Development companies, our team ensures best-in-class execution. This position is more than just a job - it's a career-defining opportunity! At Hillpointe, you'll be part of a dynamic, innovative team that makes tangible impacts on day-to-day operations and contributes directly to overall success.
Data Science/AI/ML Engineer Intern
Position Overview:
As a Data Science / AI/ML Engineer Intern, you will work on designing, developing, and deploying machine learning models and data-driven solutions. You will collaborate with a multidisciplinary team to analyze data, implement algorithms, and create innovative tools that empower decision-making and automation. This role is ideal for someone eager to learn and apply advanced data science and AI/ML techniques.
Key Responsibilities:
Data Preparation and Analysis:
- Collect, clean, and preprocess data for machine learning models.
- Conduct exploratory data analysis (EDA) to uncover insights and inform model design.
- Collaborate with stakeholders to define project requirements and data needs.
Model Development and Deployment:
- Design and implement machine learning algorithms and predictive models.
- Optimize model performance and validate results through testing and evaluation.
- Deploy models into production environments using appropriate tools and frameworks.
Research and Innovation:
- Stay updated with the latest advancements in AI, machine learning, and deep learning technologies.
- Contribute to proof-of-concept projects and explore novel approaches to solving technical challenges.
- Document findings, methodologies, and best practices.
Collaboration and Communication:
- Work closely with data engineers, software developers, and product managers to ensure seamless integration of models.
- Present insights, results, and recommendations to both technical and non-technical audiences.
- Assist in the creation of technical documentation and user guides.
Qualifications:
Education:
Pursuing or recently completed a Bachelor's/Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related field.
Technical Skills:
- Proficiency in Python or R for data analysis and machine learning.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Knowledge of SQL and experience working with databases.
- Exposure to cloud platforms (e.g., Azure) and deployment tools is a plus.
- Analytical Skills: Strong problem-solving skills with a solid understanding of statistics and data analysis.
- Communication Skills: Ability to convey complex technical concepts to non-technical stakeholders effectively.
- Eagerness to Learn: Passionate about AI/ML and committed to expanding your technical expertise.
NOTE: This document outlines the general nature and level of work expected from individuals in this role. It's important to understand that this is not an exhaustive list of responsibilities, duties, and skills. Additional tasks or job functions that can be safely performed may be required as necessary by supervisory personnel. This flexibility in additional duties showcases the company's adaptability and encourages employees to be versatile. The employee is expected to adhere to all work rules, procedures, and policies established by the company, including, but not limited to, those contained in the employee handbook.
