TalentCVVia Unstop

Posted 2d ago

AI ML Engineer Internship

Pay

INR 11,000+/month

Location

Remote, India

Remote

Type

Internship

Apply by

30 Oct

12 days left

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Responsibilities

What you'll do

  • Assist in designing, developing, testing, and deploying AI/ML models for real-world applications.
  • Build and optimize machine learning and deep learning models for various tasks.
  • Develop Generative AI applications using LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
  • Research and implement Agentic AI systems, AI agents, tool calling, and task automation.
  • Work with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, LangChain, or LlamaIndex.
  • Perform data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation.
  • Integrate AI/ML models and LLM APIs into applications using REST APIs and Python-based backend frameworks.
  • Experiment with vector databases, embeddings, semantic search, and knowledge retrieval systems.
  • Collaborate with engineering and product teams to prototype, test, and improve AI-powered solutions.
  • Evaluate model accuracy, performance, reliability, and response quality; troubleshoot issues and document findings.
  • Stay updated on emerging trends in Artificial Intelligence, Machine Learning, Generative AI, and autonomous AI agents.

Requirements

What they're looking for

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science.
Full description from the employer

<!--if--><!--if--><!--try--><!--try-b--><!--comp--><!--if--><!--comp--><!--comp--><!--comp--> <!--comp--> <!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--><!--comp--> <!--if--><!--comp--><!--comp--><!--comp--><!--comp--><!--for--><!--it--><!--comp--><!--comp--><!--comp--><!--try--><!--try-b--><!--if--><!--comp--><!--if--><!--comp--><!--comp--><!--switch--><!--comp--><!--comp--><!--comp--> AI/ML Engineer Intern – Roles, Responsibilities & RequirementsAbout the RoleWe are looking for a motivated AI/ML Engineer Intern passionate about Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI. This internship offers an opportunity to work on real-world AI projects, develop intelligent applications, build machine learning models, and explore AI-powered automation and autonomous AI agents.The ideal candidate should have a strong interest in problem-solving, Python programming, data-driven solutions, and emerging AI technologies. Roles & Responsibilities: <!--/if--><!--/it--><!--/for--><!--/comp--><!--/it--><!--it--> <!--comp--><!--for--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Assist in designing, developing, testing, and deploying AI/ML models for real-world applications.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Build and optimize machine learning and deep learning models for classification, prediction, recommendation, and automation tasks.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Develop Generative AI applications using Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Research and implement <!--/if--><!--/it--><!--it--><!--comp--><!--for--><!--it--><!--if-->Agentic AI systems<!--/if--><!--/it--><!--/for--><!--/comp--><!--/it--><!--it--><!--if-->, AI agents, tool calling, multi-step reasoning workflows, and task automation.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Work with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, LangChain, or LlamaIndex.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Perform data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Integrate AI/ML models and LLM APIs into applications using REST APIs and Python-based backend frameworks.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Experiment with vector databases, embeddings, semantic search, and knowledge retrieval systems.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Collaborate with engineering and product teams to prototype, test, and improve AI-powered solutions.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Evaluate model accuracy, performance, reliability, and response quality; troubleshoot issues and document findings.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Stay updated on emerging trends in Artificial Intelligence, Machine Learning, Generative AI, and autonomous AI agents.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--><!--comp--><!--for--><!--it--><!--if-->Requirements: <!--/if--><!--/it--><!--/for--><!--/comp--><!--/it--><!--it--> <!--comp--><!--for--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related field.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Strong programming knowledge in <!--/if--><!--/it--><!--it--><!--comp--><!--for--><!--it--><!--if-->Python<!--/if--><!--/it--><!--/for--><!--/comp--><!--/it--><!--it--><!--if--> and familiarity with data structures, algorithms, and object-oriented programming.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Basic understanding of Machine Learning concepts, including supervised learning, unsupervised learning, model training, and evaluation.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Familiarity with Python libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Knowledge of Deep Learning, Neural Networks, NLP, or Computer Vision is an advantage.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Understanding of Generative AI, Large Language Models (LLMs), prompt engineering, and AI application development.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Interest in Agentic AI, AI agents, tool use, workflow orchestration, and autonomous task execution.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Familiarity with Git, GitHub, Jupyter Notebook, APIs, and basic software development practices.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Strong analytical thinking, problem-solving skills, communication, and willingness to learn.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Ability to work independently and collaboratively in a fast-paced, innovation-driven environment.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--><!--comp--><!--for--><!--it--><!--if-->Good to Have: <!--/if--><!--/it--><!--/for--><!--/comp--><!--/it--><!--it--> <!--comp--><!--for--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Hands-on projects in Machine Learning, Deep Learning, Generative AI, or AI automation.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Experience with LangChain, LlamaIndex, Hugging Face Transformers, OpenAI APIs, or similar AI tools.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Exposure to Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Familiarity with agent frameworks, function calling, multi-agent systems, and AI workflow automation.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Basic knowledge of FastAPI, Flask, Docker, cloud platforms, or model deployment.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->A GitHub portfolio, personal AI projects, hackathon participation, or contributions to open-source projects.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--><!--comp--><!--for--><!--it--><!--if-->What You Will Gain <!--/if--><!--/it--><!--/for--><!--/comp--><!--/it--><!--it--> <!--comp--><!--for--><!--it--> • <!--comp--><!--for--><!--it--><!--if-->Hands-on experience building real-world AI/ML and Generative AI applications.<!--/if--><!--/it--><!--/for--><!--/comp--> <!--/it--><!--it--> •…

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