AI/ML Intern

This internship provides a unique opportunity to work alongside experienced professionals, contributing to real-world projects that impact our company's success.

Job Responsibilities:

• Collect, clean, and pre-process data for machine learning purposes.
• Work with diverse datasets to ensure their quality and relevance to the project.
• Assist in developing and implementing machine learning models.
• Collaborate with the AI/ML team to enhance model performance and accuracy.
• Experiment with different algorithms to optimize results.
• Conduct thorough evaluations of machine learning models.
• Perform testing to validate the effectiveness of developed models.
• Document code, methodologies, and experimental results.
• Create comprehensive documentation for models and algorithms developed during the internship.
• Develop technical content for AI/ML domain for edtech clients.
• Work closely with cross-functional teams to understand project requirements.
• Collaborate with senior AI/ML engineers and researchers to contribute effectively to ongoing projects.
• Stay updated on the latest trends and advancements in AI/ML.
• Engage in continuous learning and skill development to enhance technical expertise.

Qualifications:

• Recently completed a bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
• Solid understanding of machine learning concepts and algorithms.
• Proficient in at least one programming language such as Python, Java, or C++.
• Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Internship Duration- 6 months

Stipend- Rs.10,000 per month

Working hours- 09:30 AM to 05:30 PM

Working days- Monday to Friday

Location- Vesu, Surat.

Work Mode- On-site

Job Types: Full-time, Internship
Contract length: 6 months

Pay: ₹10,000.00 per month

Education:

• Bachelor's (Preferred)

Location:

• Surat, Gujarat (Required)

Work Location: In person