Data Science Intern (AI & Machine Learning)About Sikka.ai Sikka.ai is The Optimizer and Insights Company™, transforming healthcare through AI-powered insights and intelligent automation. Our cloud-based integration platform (Sikka Platform Utility™) connects with thousands of healthcare practices, enabling applications that improve operational efficiency, increase profitability, and enhance patient care.
As a Data Science Intern, you will work alongside AI engineers and data scientists on real-world healthcare AI applications. You'll gain hands-on experience with machine learning, Large Language Models (LLMs), AI agents, and emerging Reinforcement Learning techniques while helping build next-generation intelligent healthcare products.
Responsibilities
- Analyze large-scale healthcare datasets to uncover trends, anomalies, and actionable business insights.
- Build predictive models and data-driven solutions that improve healthcare operations and business performance.
- Perform exploratory data analysis (EDA), statistical analysis, and model evaluation.
- Develop SQL queries and Python pipelines for data extraction, transformation, and analytics.
- Design dashboards and visualizations to communicate insights to technical and business stakeholders.
- Collaborate with engineers and product managers to develop AI-powered healthcare applications.
- Evaluate and improve machine learning and LLM-based systems using quantitative and qualitative metrics.
- Assist in researching and prototyping AI agents, intelligent workflows, and Reinforcement Learning applications for healthcare automation.
- Document experiments, model performance, and technical findings.
Required Qualifications
- Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Machine Learning, or a related field.
- Strong programming skills in Python and SQL.
- Solid understanding of machine learning fundamentals, including:
- Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation Metrics
- Familiarity with statistics and data analysis techniques.
- Basic understanding of Large Language Models (LLMs) and Generative AI.
- Strong analytical thinking, curiosity, and problem-solving skills.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience with Reinforcement Learning concepts such as Markov Decision Processes (MDPs), Q-Learning, Policy Gradient methods, PPO, or Deep Reinforcement Learning.
- Familiarity with Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), reward modeling, or preference learning.
- Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
- Experience with Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and LLM evaluation.
- Familiarity with PyTorch, TensorFlow, Hugging Face, or other deep learning frameworks.
- Experience using cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Personal AI projects, research publications, Kaggle competitions, or open-source contributions are highly desirable.
What You'll Gain
- Work on production AI systems serving real healthcare customers.
- Gain hands-on experience with LLMs, AI Agents, and Reinforcement Learning technologies.
- Collaborate with experienced AI engineers and data scientists in a fast-paced startup environment.
- Build solutions that directly improve healthcare operations and patient experiences.
- Opportunity to contribute to cutting-edge AI products from research through production deployment.
Pay: Up to $25.00 per hour
Location:
- San Jose, CA 95134 (Preferred)
Ability to Commute:
- San Jose, CA 95134 (Required)
Ability to Relocate:
- San Jose, CA 95134: Relocate before starting work (Required)
Work Location: In person
