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AI/ML Internship

Codeatrix · Remote
AI Agent Development Internship Onsite Remote 3 Months ₹15,000 - ₹20,000 / month 4 applications received
70 views · 4 total applications received till now
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Standard Working Hours
Full-time schedule
₹15,000 - ₹20,000 / month
Offered by host company
Certificate & LOR
Official recommendation
3 Months
Live until 2027-02

Job Description & Overview

About Codeatrix

Codeatrix is partnering with high-velocity hiring teams across India. Selected candidates collaborate on engineering and delivery sprints, gaining hands-on exposure to production systems and mentored workflows.

About the Role

We are seeking a proactive AI/ML Internship to join the AI Agent Development team. Structured as a Onsite engagement based out of Pan India.

About Codeatrix

Codeatrix is an IT company focused on technology-driven solutions, software development, and industry-oriented projects across various business domains. We work with modern technologies, including Artificial Intelligence, Machine Learning, and data-driven solutions, to solve business challenges and improve operational efficiency.

Internship Details

  • Role: AI/ML Intern
  • Industry: IT / Software Development
  • Work Mode: Remote / Work From Home
  • Duration: 2 Months
  • Stipend: ₹15,000- ₹20000 per month
  • Experience: Freshers and experienced candidates can apply

Job Description

Codeatrix is looking for motivated AI/ML Interns to work on industry-oriented projects involving Artificial Intelligence, Machine Learning, and data-driven solutions. Interns will work with datasets, develop machine learning models, evaluate results, and explore AI technologies to solve practical business and technical challenges.

Day-to-Day Roles and Responsibilities

  • Work on AI/ML projects involving industry-relevant problems and datasets.
  • Clean, preprocess, and analyze data using Python, Pandas, NumPy, and Scikit-learn.
  • Implement supervised and unsupervised machine learning algorithms.
  • Train, test, evaluate, and optimize models using appropriate techniques and performance metrics.
  • Explore Generative AI, Natural Language Processing (NLP), or computer vision based on project requirements.
  • Document findings, troubleshoot issues, and collaborate with the team to improve project outcomes.

Who Can Apply?

  • College students from any year, freshers, recent graduates, and experienced candidates.
  • Candidates from Computer Science, IT, AI, Data Science, Engineering, Mathematics, Statistics, or related fields are preferred.
  • Candidates from other academic backgrounds with an interest in AI/ML are also welcome.
  • Applicants should have analytical thinking, problem-solving skills, and a willingness to learn.

Preferred Skills

  • Basic knowledge of Python and programming fundamentals.
  • Familiarity with machine learning, statistics, or data analysis.
  • Knowledge of Pandas, NumPy, or Scikit-learn is an advantage.
  • Familiarity with Git/GitHub, Jupyter Notebook, or Google Colab is beneficial.
  • Prior academic or personal projects are welcome but not mandatory.

Selection Process

  • Application screening based on qualifications and relevant skills.
  • Technical assessment or discussion, where applicable.
  • Interaction with the team for shortlisted candidates.
  • Selected candidates receive onboarding instructions and project details.

How to Apply

Interested candidates can apply through the internship application portal by providing accurate details about their education, technical skills, projects, and prior experience, if applicable.

Join Codeatrix to gain experience working on technology-driven projects in the evolving field of Artificial Intelligence and Machine Learning.

Key Skills & Technologies

Relevant domain tools and software practices.

Key Responsibilities

  • weight:800;color:#0F172A;margin:0 0 10px;">About Codeatrix
  • Codeatrix is partnering with high
  • velocity hiring teams across India. Selected candidates collaborate on engineering and delivery sprints, gaining hands
  • on exposure to production systems and mentored workflows.
  • weight:800;color:#0F172A;margin:0 0 10px;">About the Role
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Stipend & Incentive Qualification Criteria

Stipend is paid upon completing assigned project milestones along with maintaining required attendance and task completion as evaluated by the host organisation.

Skills & Tech Stack

Python Pandas NumPy Git Machine Learning Statistics
Apply by: 2027-02-09

Discussion (4)

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Darshil Kishor Paswan
I believe I would be a good fit for this internship because I am someone who enjoys learning new things and exploring technology. I am currently pursuing my BCA at Kristu Jayanti University, where I am building my knowledge of programming and computer applications. I am interested in understanding how AI can make learning easier and help people solve everyday problems. I may not know everything yet, but I am curious, willing to learn, and ready to put in the effort. I see this internship as a chance to improve my skills, gain practical experience and contribute wherever I can.
Sneha Khola
I am a final-year B.Tech CSE student specializing in Artificial Intelligence and Machine Learning, with a strong interest in building practical AI/ML solutions. I have foundational knowledge of Python, Machine Learning, Pandas, NumPy, data preprocessing, and AI concepts, and I am continuously improving my technical skills through hands-on projects and learning. This internship aligns well with my career goal of gaining real-world experience in AI/ML and working on industry-oriented problems. I am a quick learner, analytical, and highly motivated to contribute while learning from the team.
Sunil Fagoriya
I am excited to apply for the AI/ML Internship at Codeatrix. With a strong foundation in Python, statistics, and machine learning, I have hands-on experience working with Pandas, NumPy, and Scikit-learn to clean datasets, train models, and evaluate performance.
Harshavardhan Korlepara
I'm a 2026 CSE graduate from IIIT Sri City with hands-on experience building AI/ML applications using Python, SQL, PyTorch, TensorFlow, Scikit-learn, FastAPI, LangChain, and LLM APIs. I've developed RAG systems, multi-agent workflows, predictive ML models, and data pipelines, along with practical experience processing 20,000+ records during my internship. I'm currently building Solari Scout, an AI-powered cloud browser for competitor intelligence. I can contribute to developing, evaluating, and deploying AI solutions, learn new technologies quickly, and take ownership of engineering tasks. I'm available to join immediately.

More in AI Agent Development

Stipend, if applicable, is contingent on assignment to a paid project and completion of required certifications. Full terms apply.