Data Science (AI & Machine Learning Intern)

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 Expected hours: 40.0 per week Benefits: 401(k) matching Flexible spending account Application Question(s): This job requires 5 days a week on-site with 40 hours of work a week; only apply if you are able to commit.

Ability to Commute: San Jose, CA 95134 (Required) Ability to Relocate: San Jose, CA 95134: Relocate before starting work (Required) Work Location: In person