Job DescriptionAbout LezDo TechMed:
LezDo TechMed Pvt. Ltd. is a medical-legal services provider specializing in healthcare data analysis and documentation support for the medical, legal, and insurance industries in the United States. As part of our digital transformation initiatives, we leverage Artificial Intelligence, Machine Learning, and Generative AI technologies to build innovative solutions that enhance operational efficiency and deliver greater value to our clients.
Role Overview:
The AI & ML Intern will support the AI team in developing and implementing Machine Learning and Generative AI solutions. This internship offers hands-on exposure to real-world AI projects involving data preparation, model development, experimentation, prompt engineering, and research. The role is ideal for candidates passionate about Artificial Intelligence and eager to build practical industry experience under the guidance of experienced mentors.
Requirements
Key Responsibilities:
- Assist in Machine Learning and Generative AI project execution.
- Collect, clean, preprocess, and validate structured and unstructured datasets.
- Perform data annotation, labeling, and exploratory data analysis.
- Support the development, training, testing, and evaluation of Machine Learning models.
- Conduct experiments, analyze model performance, and document findings.
- Assist in prompt engineering, prompt optimization, and validation for Large Language Model (LLM) applications.
- Debug and troubleshoot AI/ML models, code, and data processing pipelines.
- Prepare technical documentation, experiment reports, and presentations.
- Maintain project repositories using Git and follow version control best practices.
- Participate in Agile meetings, code reviews, and knowledge-sharing sessions.
- Communicate project progress and collaborate effectively with mentors and team members.
- Complete assigned learning modules, certifications, and research activities throughout the internship.
Skills & Competencies:
- Basic understanding of Artificial Intelligence, Machine Learning, and Data Analytics.
- Knowledge of Python programming.
- Understanding of statistics, probability, and linear algebra fundamentals.
- Familiarity with supervised, unsupervised, and reinforcement learning concepts.
- Basic understanding of Large Language Models (LLMs) and Generative AI concepts is an advantage.
- Familiarity with Git and GitHub.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Passion for learning new technologies and continuous skill development.
Preferred Tools Exposure:
- Programming: Python
- Development: Visual Studio Code (VS Code)
- AI Frameworks: Hugging Face
- Version Control: Git & GitHub
- Cloud Platforms: AWS, Microsoft Azure
- Agentic AI SDKs
Qualification & Experience:
- Bachelor's or master's degree (or currently pursuing the final year) in Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics, or a related field.
- 0–1 year of experience in AI, Machine Learning, Data Science, or software development.
- Fresh graduates with relevant academic projects, internships, or certifications in AI/ML are encouraged to apply.
Benefits
What We Offer:- Hands-on experience with real-world AI, Machine Learning, and Generative AI projects.
- Structured learning and mentorship from experienced AI professionals.
- Exposure to modern AI frameworks, cloud platforms, and development tools.
- Opportunity to work on innovative solutions using Large Language Models (LLMs) and Agentic AI.
- Supportive, collaborative, and growth-oriented work environment.
- Opportunity to build a strong foundation for a career in Artificial Intelligence and Machine Learning.
RequirementsBasic understanding of Artificial Intelligence (AI), Machine Learning (ML), and Data Analysis. • Knowledge of Python programming for data analysis, machine learning and Generative AI. • Basic understanding of statistics, probability, and linear algebra fundamentals. • Understanding supervised, unsupervised, re-enforcement machine learning algorithms. • Familiarity with Generative AI concepts, Large Language Models (LLMs), and prompt engineering is desirable. • Basic understanding of version control tools such as Git and GitHub. • Exposure to cloud platforms (Azure, AWS, or Google Cloud) is an added advantage. • Basic communication skills. • Willingness to learn.
