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