Ai/ml Internship
1 week ago
**Title**:Intern - AI/ML
**Location**:Hybrid in Bangalore
**Internship Duration**:6-months
**Stipend**:₹20,000 per month
**Working Days**:5 days a week
**Working Time**:9:30 AM - 6:30 PM / 10 AM - 7 PM
**About Ansrsource**:
Ansrsource is a leader in educational content development, dedicated to creating high-quality learning solutions across a range of disciplines. Our commitment is to deliver impactful, accessible content that empowers learners worldwide. Join our team to gain experience in educational content creation and work alongside experts passionate about innovation in education.
**ansr**source is seeking a motivated and talented **AI/ML Intern** for a **full-time hybrid role**. This opportunity offers a blend of office collaboration and remote work flexibility. As an AI/ML intern, you will work alongside a team of AI/ML experts, contributing to cutting-edge machine learning projects. Your role will involve analysing data, developing code, troubleshooting, and experimenting with innovative solutions to real-world problems.
**Key Responsibilities**:
- Assist in developing and deploying machine learning models for various projects.
- Perform data analysis, preprocessing, and feature engineering to prepare datasets for training and evaluation.
- Write clean and efficient code to support ML pipelines and integrate solutions into existing systems.
- Debug, troubleshoot, and optimize code to improve model performance and scalability.
- Explore and implement advanced ML algorithms, including regression, classification, and clustering models.
- Collaborate with cross-functional teams to understand project requirements and deliver solutions.
- Stay updated on emerging trends and tools in AI and machine learning.
**Qualifications**
**Education**:
- Completed a **Bachelor’s or Master’s Degree** in **Computer Science**, **Mathematics**, or related fields.
**Technical Skills**:
- Strong foundation in **Data Structures**, **Algorithms**, **Probability**, and **Statistics**.
- Proficiency in programming languages**:Python**, **HTML**, and **C++**.
- Solid understanding of **Machine Learning algorithms**, including **open-source models**, **regression**, **classification**, and **clustering techniques**.
- Experience with **TensorFlow**, **Keras**, **PyTorch**, or other deep learning frameworks is highly desirable.
- Familiarity with **Git** and understanding of software development principles is a plus.
**Good to Have**:
- Working knowledge of **Transformers**, **scikit-learn (Sklearn)**, **Pandas**, and **APIs** for building scalable machine learning solutions.
**Soft Skills**:
- Ability to work independently and collaboratively in a team environment.
- Quick learner with a proactive attitude toward problem-solving and learning new technologies.
- Strong communication skills to articulate ideas effectively within the team and across stakeholders.
**Preferred Experience**:
- Hands-on experience with real-world datasets and model training.
- Exposure to designing and implementing end-to-end machine learning pipelines.
**Equal opportunity statement**
ansrsource provides equal employment opportunities to all team members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, caste, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We respect and support diverse cultures, backgrounds, talents, and perspectives. We believe embracing diversity and creating an inclusive environment will help us grow and succeed as an organization and better serve learners, who are the ultimate audience for all we create.
**Job Type**: Internship
Contract length: 6 months
Pay: ₹20,000.00 - ₹23,000.00 per month
Schedule:
- Day shift
- Monday to Friday
Application Question(s):
- Have you completed your degree?
- Can you come for a face to face interview between 26th November to 29th November?
- Are you ok with the mentioned internship stipend?
**Location**:
- Bengaluru, Karnataka (required)
Work Location: In person
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