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Isarva AI Biggest Hiring For AI/ML Internship – Agentic AI (Autonomous Agents) | Remote Job For Freshers . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company
We are a team of experts who are well prepared to provide exceptional service for you to satisfy your requirements in digital solutions.
Make people’s lives smarter and more productive by providing excellent service in creating digital software solutions with cutting-edge technology.
Job Overview
We are seeking a motivated and talented Machine Learning Engineer Intern to join our team and assist with the development of our cutting-edge machine learning projects. As a Machine Learning Engineer Intern, you will be responsible for designing, developing, testing, and deploying machine learning models and algorithms that solve complex problems. You will work closely with data scientists and software engineers to create robust and scalable machine-learning solutions. Joining our innovative team presents an excellent opportunity for individuals who are passionate about machine learning and seek to gain valuable hands-on experience in a real-world setting.
Roles & Responsibilities
- Develop and deploy machine learning models and algorithms that solve complex problems.
- Collaborate with data scientists and software engineers to design and implement machine learning solutions.
- Write high-quality, clean, and efficient code that is maintainable and scalable.
- Participate in the entire machine learning development lifecycle, including data preprocessing, feature engineering, model selection, and evaluation.
- Test and validate machine learning models and algorithms to ensure accuracy and performance.
- Stay up-to-date with emerging trends and technologies in machine learning
Qualification and Requirement
- Hands-on experience or coursework involving Large Language Models (LLMs), including familiarity with prompt engineering, fine-tuning, or API-based integration.
- Currently pursuing a Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in Python.
- Strong foundation in machine learning algorithms and techniques (e.g., linear regression, logistic regression, decision trees, neural networks).
- Experience with Git, GitHub, or other version control systems.
- Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Experience with Retrieval-Augmented Generation (RAG) pipelines and frameworks such as LangChain or LlamaIndex is a strong advantage. (Plus)
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