Full job description

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