Undergrad Intern – Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the design, development, and testing of scalable data pipelines for the ingestion and transformation of multiple data sources into enterprise data lakes and warehouses.

• Collaborate with data engineers and scientists to clean, prepare, and analyze both structured and unstructured data.

• Support the development and automation of pipelines for model training, evaluation, and deployment.

• Investigate and analyze pharmaceutical commercial datasets to derive data-driven insights.

• Engage in the design of visualizations and dashboards for internal stakeholders.

• Acquire knowledge in hypothesis testing, regression, and classification techniques.

• Work together on the implementation and monitoring of machine learning models in production settings.

• Document technical processes, models, and tools systematically.

• Experiment with various data engineering and MLOps tools and methodologies.

• Take part in agile ceremonies, including sprint planning and retrospectives.

⛳️ Requirements

• Anticipated completion of at least one year of study at an accredited college or university prior to the start of the internship.

• Expected ongoing enrollment in an accredited college or university following the internship.

• The student must reside in the United States for the duration of the internship.

• Availability for a full-time work schedule is required.

• Must be willing to accept and commit to future full-time employment by July 2028, if offered.

• Candidates must be 18 years or older.

• Currently enrolled in a full-time Bachelor’s Degree program at an accredited institution.

• A minimum GPA of 3.0 or its equivalent is preferred.

• Degree concentration in Information Technology, Computer Science, Engineering, Business, or a related field is preferred.

• Experience in the biotechnology, pharmaceutical, or healthcare industry is a plus.

• Intermediate proficiency in Microsoft Word, Excel, and PowerPoint is preferred.

• Foundational knowledge in Python or R, including libraries such as pandas, NumPy, matplotlib, seaborn, scikit-learn, or XGBoost is preferred.

• Familiarity with cloud platforms like AWS, GCP, or Azure is preferred.

• Basic understanding of SQL and experience querying relational or big data sources is preferred.

• Interest or coursework in NLP, time-series analysis, or statistical modeling is preferred.

• Familiarity with Git and collaborative coding practices is preferred.

• Awareness of Databricks, Apache Spark, or Apache Airflow is advantageous.

• Coursework in business systems analysis, Lean, Agile/SCRUM, SDLC processes, software development, database modeling, web design and development, IT management, cloud-based application management, B2B collaboration, or enterprise systems is preferred.

• Must be authorized to work in the U.S. throughout the duration of the program.

• Sponsorship for future full-time positions is not assured.

🏝️ Benefits

• Competitive benefits package.

• A collaborative work culture.

• Support for professional and personal growth and well-being.

• Opportunities for executive and social networking events.

• Participation in community volunteer projects.

• An inclusive workplace environment.

• Reasonable accommodations for individuals with disabilities.