Ai/ml Trainer

6 hours ago

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, Part-time, Permanent, Fresher

Pay: From ₹120,000.00 per year

Expected hours: 48 per week

**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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