Internship Opportunity AI/ML Engineer & Data Engineer (6 Months)

Job Description

Role Overview:At Digitraly, we are seeking 2 driven interns to join our core engineering team for a 6-month internship program. As an Intern AI/ML Engineer (Chat Orchestration), you will work on chat orchestration pipelines for AI-driven assistants, integrate LLM prompt flows with structured and unstructured data, experiment with RAG, embeddings, and personalization models, and optimize multi-turn dialog flows for real-time decision support. As an Intern Data Engineer (Data Pipelines), you will be responsible for designing and managing data ingestion pipelines from multiple providers and APIs, building and maintaining the core schema for multi-tenant SaaS applications, ensuring scalable, clean, validated datasets for downstream analytics, and implementing ETL workflows, data transformation, and dashboards.Key Responsibilities:- Work on chat orchestration pipelines for AI-driven assistants- Integrate LLM prompt flows with structured and unstructured data- Experiment with RAG, embeddings, and personalization models- Optimize multi-turn dialog flows for real-time decision supportQualifications Required for Intern AI/ML Engineer (Chat Orchestration):- Strong foundation in Python/.NET or Node.js- Familiarity with NLP, LLMs, transformers (Hugging Face, OpenAI, Rasa)- Exposure to conversational AI or chatbots is a plusKey Responsibilities:- Design and manage data ingestion pipelines from multiple providers and APIs- Build and maintain the core schema for multi-tenant SaaS applications- Ensure scalable, clean, validated datasets for downstream analytics- Implement ETL workflows, data transformation, and dashboardsQualifications Required for Intern Data Engineer (Data Pipelines):- Proficiency in SQL (MS SQL / PostgreSQL) and schema design- Knowledge of ETL/data pipeline tools (Airflow, Azure Data Factory)- Comfortable with API integrations and data modelingLocation: ChennaiDuration: 4 monthsCommitment: Full-time internship - potential pre-placement offerStart: ImmediateWhy Join Us:- Work directly with a founding engineering team building AI-first SaaS- Opportunity to contribute to production-grade GenAI & data systems- Exposure to multi-tenant SaaS design, orchestration, and cloud-scale deployments- Startup culture: fast learning, high ownership, real impactHow to Apply:Interested candidates can apply by sending an updated CV to [HIDDEN TEXT] and adding a short note on:- Why you want to work on AI/ML orchestration or data pipelines- What skills/tech you are most confident in- What you hope to learn during the internship Role Overview:At Digitraly, we are seeking 2 driven interns to join our core engineering team for a 6-month internship program. As an Intern AI/ML Engineer (Chat Orchestration), you will work on chat orchestration pipelines for AI-driven assistants, integrate LLM prompt flows with structured and unstructured data, experiment with RAG, embeddings, and personalization models, and optimize multi-turn dialog flows for real-time decision support. As an Intern Data Engineer (Data Pipelines), you will be responsible for designing and managing data ingestion pipelines from multiple providers and APIs, building and maintaining the core schema for multi-tenant SaaS applications, ensuring scalable, clean, validated datasets for downstream analytics, and implementing ETL workflows, data transformation, and dashboards.Key Responsibilities:- Work on chat orchestration pipelines for AI-driven assistants- Integrate LLM prompt flows with structured and unstructured data- Experiment with RAG, embeddings, and personalization models- Optimize multi-turn dialog flows for real-time decision supportQualifications Required for Intern AI/ML Engineer (Chat Orchestration):- Strong foundation in Python/.NET or Node.js- Familiarity with NLP, LLMs, transformers (Hugging Face, OpenAI, Rasa)- Exposure to conversational AI or chatbots is a plusKey Responsibilities:- Design and manage data ingestion pipelines from multiple providers and APIs- Build and maintain the core schema for multi-tenant SaaS applications- Ensure scalable, clean, validated datasets for downstream analytics- Implement ETL workflows, data transformation, and dashboardsQualifications Required for Intern Data Engineer (Data Pipelines):- Proficiency in SQL (MS SQL / PostgreSQL) and schema design- Knowledge of ETL/data pipeline tools (Airflow, Azure Data Factory)- Comfortable with API integrations and data modelingLocation: ChennaiDuration: 4 monthsCommitment: Full-time internship - potential pre-placement offerStart: ImmediateWhy Join Us:- Work directly with a founding engineering team building AI-first SaaS- Opportunity to contribute to production-grade GenAI & data systems- Exposure to multi-tenant SaaS design, orchestration, and cloud-scale deployments- Startup culture: fast learning, high ownership, real impactHow to Apply:Interested candidates can apply by sending an updated CV to [HID

Keyskills :
PythonNETNLPSQLPostgreSQLETLAirflowData modelingNodejsLLMsHugging FaceOpenAIRasaAzure Data Factory