Ai & Ml Intern

1 week ago

Powai Iit Mumbai Maharashtra, India LineupX Full time

**Machine Learning Internship**

Position Overview:
We are seeking a passionate and dedicated Machine Learning Intern to join our team. As an intern, you will work closely with experienced data scientists and engineers to develop, test, and deploy machine learning models. This is an excellent opportunity to gain hands-on experience with cutting-edge technologies and contribute to real-world projects.

**Responsibilities**:

- Collaborate with the team to collect, preprocess, and analyze datasets.
- Develop and train machine learning models for specific use cases.
- Evaluate model performance using appropriate metrics and improve accuracy and efficiency.
- Assist in deploying ML models into production environments.
- Document processes, findings, and insights throughout the project lifecycle.
- Stay updated on the latest trends and advancements in machine learning and AI.

**Qualifications**:

- Currently pursuing or recently completed a degree in Computer Science, Data Science, Machine Learning, or a related field.
- Strong knowledge of programming languages such as Python (preferred) or R.
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Basic understanding of supervised and unsupervised learning, NLP, or computer vision.
- Hands-on experience with data preprocessing and visualization libraries (e.g., Pandas, NumPy, Matplotlib).
- Problem-solving mindset and eagerness to learn new technologies.

**Preferred Skills**:

- Experience with SQL and working with databases.
- Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
- Understanding of version control systems (e.g., Git).

**Benefits**:

- Mentorship from industry professionals.
- Opportunity to work on impactful real-world projects.
- Flexible working hours.

**Job Type**: Internship
Contract length: 6 months

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

Schedule:

- Day shift

**Experience**:

- total work: 1 year (preferred)

Work Location: In person

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