? WE ARE HIRING | AI TRAINER

Skryptee Innovations Pvt. Ltd. is looking for an experienced and passionate Artificial Intelligence Trainer to join our technology and professional training ecosystem.

We are seeking an AI professional who can deliver industry-oriented, hands-on training covering the complete Artificial Intelligence development lifecycle — from problem definition and data preparation to model development, deployment, monitoring, and responsible AI.

? Position

Artificial Intelligence Trainer (AI Trainer)

? Key Training Areas The ideal candidate should be capable of delivering training across the following areas:

1️⃣ AI Problem Definition

- AI problem identification and feasibility analysis
- User personas, requirements, constraints, inputs and outputs
- Classification of AI problems
- Selection of appropriate AI approaches
- Human-AI interaction
- Success metrics and risk assessment
- Responsible AI planning
- Transparency, validation and explainability

2️⃣ Data Collection & Transformation

- Identifying appropriate data sources
- Data collection strategies
- Dataset generation and annotation
- Data quality assessment
- Missing, corrupt and biased data
- Data preprocessing and transformation
- Numerical, image, text and time-series data

3️⃣ Feature Engineering

- Feature selection
- Feature vectors
- Feature transformation
- Training and testing datasets
- Data splitting strategies
- Dataset documentation and reproducibility

4️⃣ AI Algorithms & Machine Learning Models

- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Regression
- Classification
- Natural Language Processing
- Decision Trees
- K-Means and clustering
- Neural Networks
- Model training and hyperparameter tuning
- Pre-trained models, fine-tuning and model selection

5️⃣ Model Evaluation

- Accuracy
- Precision
- Recall
- F1 Score
- Sensitivity & Specificity
- Confusion Matrix
- Cross-validation
- Overfitting & Underfitting
- Model robustness
- Bias detection and mitigation
- Model comparison and selection

6️⃣ AI Application Integration & Deployment

- AI application architecture
- Production pipelines
- CI/CD for AI solutions




- Application and data-store integration
- Model serving and API integration
- Accuracy, latency and robustness testing
- Production challenges and support strategies

7️⃣ AI Security & Responsible AI

- AI security fundamentals
- Access control and permissions
- Infrastructure security
- Model risks and attack surfaces
- Adversarial attacks
- Bias and fairness
- Transparency and explainability
- AI governance and ethical considerations

8️⃣ AI Monitoring & Maintenance

- Model and application monitoring
- Logging and auditing
- Model drift detection
- Performance monitoring
- Feedback mechanisms
- Retraining strategies
- Business KPIs
- User and community impact
- Continuous improvement
- Model retirement/decommissioning

? Generative AI & Emerging AI Technologies Candidates with practical experience in the following will be highly preferred:
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents / Agentic AI
- Embeddings & Vector Databases
- AI APIs
- Fine-tuning
- Multimodal AI
- AI application development
- Responsible Generative AI

?️ Technical Skills

Required / Preferred:

- Python
- NumPy / Pandas
- Scikit-learn
- TensorFlow / PyTorch
- Jupyter / Google Colab
- Git & GitHub
- REST APIs
- SQL / NoSQL fundamentals

Cloud & AI Platforms — added advantage:

- Microsoft Azure AI
- Google Cloud AI
- AWS AI/ML
- Microsoft Foundry / Azure AI Foundry
- OpenAI APIs
- Google Gemini
- Hugging Face

?‍? Trainer Responsibilities
- Conduct technical training for students, graduates, faculty members and working professionals
- Deliver workshops, bootcamps, FDPs, SDP programs and corporate training
- Create practical demonstrations, assignments and assessments
- Develop real-world AI projects and case studies




- Mentor learners in AI/ML project development
- Prepare course materials, presentations and technical documentation
- Evaluate learner performance and provide technical guidance
- Continuously update training content according to emerging AI technologies
- Explain complex AI concepts in a simple, structured and practical manner

? Preferred Background

Candidates with experience as

- AI/ML Engineer
- Machine Learning Engineer
- Data Scientist
- Generative AI Developer
- AI Engineer
- AI/ML Trainer
- Technical Trainer
- AI Faculty / Professor
- Python Developer with AI/ML expertise

are encouraged to apply. ⭐ Ideal Candidate

We are looking for someone who can teach beyond theory .

You should be able to take learners through the complete journey:

Problem → Data → Features → Algorithm → Model → Evaluation → Deployment → Security → Monitoring → Continuous Improvement

Robust communication, presentation, mentoring and practical implementation skills are essential.

? Certification / Experience

AI, Machine Learning, Data Science, Cloud AI or related professional certifications will be an advantage.

Candidates should preferably have 150+ hours of formal instruction and/or hands-on exploration in Artificial Intelligence methodologies and solutions , along with practical knowledge of AI development.

? Why Join Skryptee?

- Work on real-world AI and technology initiatives
- Train students, faculty and industry professionals
- Exposure to emerging Generative AI and Agentic AI
- Opportunity to build and deliver industry-focused AI programs
- Collaborate with technology and academic ecosystems
- Flexible training opportunities
- Continuous professional growth

? Interested candidates can share their updated CV/Resume with us. Join Skryptee Innovations and help build the next generation of AI professionals. ??

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📌 AI Trainer (Madanapalle)
🏢 Skryptee Innovations
📍 Madanapalle