Ai/ml Intern

5 days ago


Manewada Road Nagpur Maharashtra, India Bootcoding Pvt. LTD. Full time

**Walk-In Drive: AI/ML Intern Recruitment (2024/2025 Batch)**

Bootcoding PVT. LTD. - Innovating with AI & Data

**Position**

AI/ML Intern (2024/2025 Pass-Outs Only)

**Drive Date**

**25th August 2025** (Monday)
Reporting Time: 11:00 AM - 3:00 PM

**Venue**: Office Bootcoding Pvt. Ltd. - 110/2, First Floor, near Kamla Nehru College, old, Sakkardara, Somwaripeth, Nagpur, Maharashtra 440024.

★★★★★ - Software company.

Mode: Offline (In-person)

**About the Role**

We are looking for enthusiastic final-year students and fresh graduates from the **2024 & 2025 batch** who are passionate about **Artificial Intelligence and Machine Learning**. This internship provides hands-on exposure to **real-world AI projects**, with the possibility of a **Pre-Placement Offer (PPO)**.

**Key Responsibilities**
- Build, train, and optimize ML/Deep Learning models (TensorFlow, PyTorch, Scikit-learn).
- Data preprocessing, cleaning, and feature engineering.
- Assist in model deployment using Flask/Docker/Cloud.
- Research latest AI/ML advancements and contribute innovative ideas.
- Collaborate with senior data scientists and engineers.

**Eligibility**
- **Batch**: 2024 & 2025 pass-outs only.
- **Courses**: B.Tech / M.Tech / MCA / B.Sc. / M.Sc. in CSE, AI/ML, Data Science, or related fields.
- **Skills Required**:

- Python, Pandas, NumPy
- ML Frameworks (TensorFlow / PyTorch / Scikit-learn)
- Strong foundation in math & statistics
- Bonus: Knowledge of NLP, CV, or cloud (AWS/GCP/Azure).

**Stipend & Duration**
- Stipend: ₹10,000 - ₹15,000 / month
- Duration: 3-6 months
- PPO opportunities for top performers

**Documents to Carry**

Updated Resume

**Selection Process**
- Aptitude & Coding Test (Python / ML Basics)
- Technical Interview (AI/ML Concepts + Project Discussion)
- HR Round

**Key Responsibilities**
- **Model Development & Experimentation**: Build, train, fine-tune, and optimize ML and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. INI8 LabsSmartRecruitersWorkonward
- **Data Processing & Feature Engineering**: Preprocess data, clean datasets, and engineer features to support model development. SmartRecruitersWorkonward
- **Deployment Assistance**: Help integrate models into production environments, potentially leveraging cloud services like AWS, GCP, or basic MLOps practices. INI8 LabsSmartRecruitersWorkonward
- **Testing & Evaluation**: Assess model performance, debug issues, propose improvements, and validate output quality. SmartRecruitersWorkonward
- **Collaboration & Reporting**: Work with engineers and data scientists, document experiments, and present insights clearly. WorkonwardSmartRecruiters

**Qualifications & Skills**
- Enrollment in or recent completion of a degree (B.Tech/M.Tech/MCA/M.Sc.) in a relevant field. Final-year or recent graduates from the 2024/2025 batch are strongly preferred. INI8 LabsMIT Career AdvisingTeal
- Proficiency in Python, with experience in ML libraries like TensorFlow, PyTorch, and Scikit-learn. INI8 LabsSmartRecruitersWorkonward
- Strong foundation in mathematics/statistics—linear algebra, probability, performance metrics such as accuracy, precision, recall. Workonward
- Familiarity with data handling tools like Pandas and NumPy; version control (e.g., Git) is a plus. Workonward
- Exposure to AI sub-domains such as computer vision, NLP, reinforcement learning, or LLMs is advantageous. INI8 LabsSmartRecruitersJointaro
- Bonus: Knowledge of cloud platforms (AWS/GCP/Azure), containerization (Docker), or MLOps practices. INI8 LabsMIT Career AdvisingTeal
- Soft skills: Analytical mindset, effective communication, teamwork, and eagerness to learn.

**Preferred Additional Qualifications**
- Capstone projects, hackathons, or research in AI/ML.
- Basic experience with NLP frameworks (e.g., Hugging Face) or working with LLMs. SmartRecruitersJointaro
- Familiarity with continuous model integration or cloud-based prototype deployment. MIT Career Advising+1

**Stipend & Perks**
- **Stipend**: Align with Indian market norms—typically ₹10,000 to ₹15,000 per month, based on location and responsibilities. You can adjust as per budget and role clarity. Workonward
- **Learning & Mentorship**: Gain hands-on experience under the guidance of experienced mentors.
- **Possibility of PPO**: High-performing interns may receive offers to join full-time after their internship.

Pay: ₹10,000.00 - ₹15,000.00 per month

Work Location: In person


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