Ai/ml Intern

6 days ago

Kanwali Dehradun Uttarakhand, India novanectarservice pvt.ltd Full time

Job Title: Artificial Intelligence/Machine Learning Trainer

Company: NovaNectar Services Pvt. Ltd.

Location: Dehradun Uttarakhand

**Job Type**: Full-Time/Part-Time

Job Overview:
Key Responsibilities:
Design, develop, and deliver training sessions on AI, Machine Learning, Deep Learning, and Data Science concepts.

Create and update training materials, tutorials, and hands-on projects aligned with industry trends.

Conduct interactive sessions, workshops, and practical assignments to reinforce learning.

Provide mentorship, guidance, and support to learners in their AI/ML projects.

Stay updated with the latest advancements in AI/ML and integrate them into the training curriculum.

Assess learners' progress through tests, evaluations, and feedback sessions.

Collaborate with internal teams to improve and refine training methodologies.

Required Skills and Qualifications:
Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

2+ years of experience in AI/ML development and training.(Fresher can Apply)

Proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, OpenCV, and NLP frameworks.

Strong understanding of machine learning algorithms, deep learning models, and data preprocessing techniques.

Experience in cloud platforms (AWS, GCP, Azure) and MLOps is a plus.

Excellent presentation, communication, and teaching skills.

Ability to engage with learners and simplify complex concepts.

Preferred Qualifications:
Prior experience as a corporate trainer, faculty, or mentor in AI/ML.

Certifications in AI/ML-related courses.

Why Join Us?

Work with a dynamic and innovative team in the AI/ML industry.

Opportunities for continuous learning and professional growth.

Competitive salary and flexible working environment.

**Job Types**: Full-time, Permanent, Internship
Contract length: 3 months

Pay: ₹1,000.00 - ₹3,000.00 per year

**Benefits**:

- Flexible schedule
- Internet reimbursement

Schedule:

- Day shift
- Monday to Friday

Supplemental Pay:

- Overtime pay
- Performance bonus

Work Location: In person

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