Data Science (AI & Machine Learning Intern)

Benefits: 401(k) matchingFlexible spending account Full job description About Sikka.aiSikka.ai is The Optimizer and Insights CompanyTM, transforming healthcare through AI-powered insights and intelligent automation. Our cloud-based integration platform (Sikka Platform UtilityTM) 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
• ClassificationClusteringFeature 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

Benefits: 401(k) matchingFlexible 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