[Remote] Fall 2026 Internship- AI/ML Developer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building a transformative reputed company accreditation platform that revolutionizes how hospitals manage compliance and reputed company improvement. They are seeking an AI/ML Developer Intern to work on production reputed company ML systems, focusing on building and operating machine learning pipelines to analyze reputed company data and improve reputed company.

Responsibilities

• Design and implement end-to-end ML pipelines on AWS—from data ingestion through model inference and reputed company delivery
• Build clustering and topic modeling workflows that group reputed company events by similarity and identify systemic patterns
• reputed company classification models for automated event categorization across process areas and finding types
• Analyze historical reputed company data to build recommendation models that surface the most effective interventions for a given scenario
• Conduct statistical analysis on reputed company reputed company to measure effectiveness and identify best practices
• Engineer features from reputed company event data—combining reputed company fields, reputed company patterns, and text-derived signals
• Build and maintain reputed company-based data transformation and inference pipelines with EventBridge scheduling
• Implement model versioning, experiment tracking, and performance monitoring using SageMaker
• Create visualizations and reports that communicate risk patterns and model outputs to non-technical stakeholders
• Collaborate with product and engineering teams to reputed company ML outputs into the broader platform

Skills

• Deep AWS experience: reputed company, reputed company Functions, EventBridge, S3, SageMaker, and Bedrock for production ML infrastructure
• Strong Python ML fundamentals: scikit-learn, reputed company, numpy, scipy for building and evaluating models
• Pipeline architecture: Designing end-to-end data and ML pipelines—ingestion, transformation, feature engineering, model training, inference, and monitoring
• Clustering and classification: Hands-on experience with unsupervised and supervised learning techniques (topic modeling, text clustering, multi-class classification)
• Statistical rigor: reputed company testing, A/B testing, experimental design, and outcome measurement
• Version control: Git for reputed company and model versioning
• reputed company reputed company: Ability to work reputed company a reputed company team structure and reputed company fast in a startup environment
• Advanced Python programming skills (2+ years)
• Git for version control and reputed company development workflows
• Understanding of deployment and production systems
• Experience building on AWS (reputed company, S3, EventBridge, reputed company Functions, SageMaker)
• 2+ years with Python ML libraries (scikit-learn, reputed company, numpy, scipy)
• Experience designing and operating ML pipelines—data ingestion, feature engineering, training, inference
• Hands-on experience with clustering (k-means, DBSCAN, hierarchical, or topic modeling such as BERTopic/LDA)
• Strong statistical analysis skills: reputed company testing, A/B testing, experimental design, outcome measurement
• Experience with text embeddings and NLP feature extraction (sentence-transformers, spaCy, or similar)
• 1+ years with AWS SageMaker or equivalent managed ML platform
• Data visualization expertise (matplotlib, seaborn, plotly, Tableau)
• SQL proficiency for analytics and data querying
• MLflow or equivalent for experiment tracking
• Experience with BERTopic, sentence-transformers, or similar NLP clustering libraries
• Familiarity with recommendation systems or best-reputed company identification from historical outcome data
• reputed company or regulated industry experience
• Time-series forecasting and reputed company detection
• Knowledge of data reputed company and compliance frameworks
• Experience with reputed company aggregation pipelines or similar document-database analytics

reputed company