Highlights
Hands-on ML experience, mentorship from experts, real-world applications.
Description
Job Summary
pJoin Nference as a Machine Learning Intern and contribute to groundbreaking research in healthcare AI. Assist in developing advanced machine learning models, support LLM workflows, and gain hands-on experience with cutting-edge technologies.
Responsibilities
- Develop and evaluate ML/DL models
- Support LLM-based workflows including prompting, embeddings, retrieval pipelines
- Data preprocessing, feature engineering, dataset preparation
- Conduct experiments and analyze results
- Build REST APIs and batch pipelines for model inference
- Follow Docker-based workflows and Git version control practices
- Debug and optimize data, training, and inference pipelines
- Document experiments, models, and results for reproducibility
Required Skills
- Python programming
- Machine learning fundamentals
- NLP concepts
- PyTorch or TensorFlow
- Data preprocessing techniques
Required Skills Explained
- Pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Data Science, AI, or a related field.
- Strong programming skills in Python.
- Understanding of machine learning, deep learning, and NLP fundamentals.
- Familiarity with PyTorch, TensorFlow, or scikit-learn.
- Knowledge of transformers, embeddings, and LLM concepts.
- Exposure to REST APIs, Git, and Docker.
- Strong analytical and problem-solving skills.
Who is this for
pThis role is ideal for students or recent graduates with a passion for AI and healthcare. You should have a strong interest in machine learning, data science, and a desire to contribute to impactful research.
Why This Job is a Good Opportunity
ulliTo work with cutting-edge AI technology in the healthcare industry.liTo gain mentorship from experienced professionals in data science and engineering.liTo contribute to impactful projects that solve real-world problems.liTo learn about LLM-based workflows and their applications in research and clinical settings.
Interview Preparation Tips
- Review the required skills listed in the job description thoroughly.
- Prepare examples of your work with Python, machine learning, and deep learning projects.
- Understand how NLP concepts like embeddings and transformers are used in practice.
- Be ready to discuss your understanding of data preprocessing and feature engineering techniques.
- Practice explaining complex technical concepts in simple terms.
Career Growth in This Role
pThe role offers a pathway for career growth in the field of AI and healthcare technology. With hands-on experience, individuals can develop advanced skills in machine learning and deep learning, which are highly valued in both academia and industry. The exposure to real-world applications can lead to opportunities in research, product development, or even entrepreneurship. Additionally, networking with experienced professionals can open doors to further career advancement.
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Skills
Frequently Asked Questions
What type of data will I be working with?You'll work with biomedical and healthcare data, including large-scale datasets relevant to machine learning models.
Is this a full-time or part-time role?This is an internship position. Full-time employment is not guaranteed upon completion of the internship.
What kind of mentorship will I receive?You'll have access to experienced mentors who will guide you through your projects and provide regular feedback.
