AI/ML Intern

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.

Interview Location - https://maps.app.goo.gl/VAPKiZCtftnpi7BK8

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
• Research & Innovation: Stay updated on AI/ML advancements, explore new architectures (e.g., CNNs, RNNs, Transformers), and apply relevant innovations. INI8 LabsWorkonward
• 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.

Job Type: Full-time

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

Work Location: In person