Data Science GEN AI Professional Trainer

Data Science Gen AI Trainer

We are seeking highly experienced, talented, and dedicated **Technical Trainers** to design and deliver intensive training programs across a spectrum of booming technologies. The ideal candidates will possess deep industry expertise and a passion for teaching. Your core mission will be to transform students and aspiring professionals into highly competent, **job\-ready** IT professionals.

If you are committed to student success and deliver exceptional training quality, we offer an aggressive performance\-based intensive reward structure alongside competitive compensation.

Key Responsibilities

• **End\-to\-End Training Delivery:** Lead intensive, hands\-on, and interactive training sessions tailored to make students industry\- and project\-ready.
• Cybersecurity,Devsecops,.Net,Network Engineer
• **Curriculum \& Practical Lab Design:** Develop and update robust course curricula, real\-world case studies, capstone projects, and mock interview modules.
• **Job Readiness Focus:** Guide students through practical troubleshooting, best practices, live project simulations, and portfolio building.
• **Mentorship \& Evaluation:** Conduct regular assessments, track student progress, provide constructive feedback, and conduct mock technical interviews.
• **Stay Updated:** Continuously upgrade training modules to align with the latest industry updates, certifications, and enterprise requirements.

Target Technical Domains (Looking for Specialists in any of the following):1\. ServiceNow

• Expertise in ITSM, ITOM, HRSD, CSM, and Application Development.
• Ability to teach ServiceNow scripting (Client Scripts, Business Rules, UI Actions) and integration workflows.

2\. Identity \& Access Management (IAM / PAM Tools)

• Deep configuration and architectural knowledge in tools such as **CyberArk, ARCON, ForgeRock, Saviynt, and Okta**.
• Practical training on user provisioning, access governance, privileged session management, and single sign\-on (SSO).

3\. Java Full Stack Development

• Core \& Advanced Java, Spring Boot, Microservices, RESTful APIs, and Hibernate.
• Frontend tech: Angular, React, or Vue.js, along with Databases (SQL/NoSQL) and CI/CD basics.

4\. Generative AI (GenAI) \& Emerging Tech

• Practical knowledge of Large Language Models (LLMs), Prompt Engineering, RAG frameworks, LangChain, and fine\-tuning concepts.
• Familiarity with OpenAI API integration, Python for AI, and cloud\-based AI services.

5\. Salesforce

• Comprehensive training across Admin, Developer (Apex, Lightning Web Components \- LWC), Sales Cloud, Service Cloud, and Integration architectures.

Candidate Profile \& Qualifications

• **Experience:** 5\+ years of core industry experience with at least 2\+ years of formal training, mentoring, or corporate instruction experience.
• **Technical Depth:** Must be a subject matter expert in your designated technology with strong architectural and debugging skills.
• **Communication Skills:** Excellent presentation, verbal communication, and interpersonal skills to engage and simplify complex logic for students.
• **Passion for Teaching:** Highly dedicated, empathetic, and driven by student success metrics (e.g., placement rates, certification passes).

What We Offer

• **Competitive Compensation:** Top\-of\-the\-market remuneration (Hourly / Monthly / Retainer basis).
• **Excellent Performance Incentives:** Intensive bonus structures awarded for exceptional student success, high placement rates, and outstanding feedback ratings.
• **Flexible Engagement:** Opportunities for Full\-Time, Part\-Time, or Freelance/Contractual engagements.
• **State\-of\-the\-Art Ecosystem:** Access to modern LMS platforms and robust lab environments to facilitate smooth delivery.
• A **Generative AI Trainer** must bridge the gap between complex artificial intelligence architectures and practical, real\-world application. \[1]Here is a structured overview of the essential technical and soft skills required for this role.Core Technical Skills
• **Generative AI \& LLMs**: Mastery of foundational architectures like Transformers, GPT, Claude, Llama, and Diffusion models.

Training \& Pedagogical Skills

• **Complex Simplification**: Ability to translate deep mathematical and machine learning concepts into layman's terms.
• **Lab Architecture**: Experience designing hands\-on coding labs using platforms like Google Colab or Jupyter Notebooks.
• **Curriculum Agility**: Capacity to rapidly update teaching materials as AI models and tools evolve week\-by\-week.
• **Technical Mentorship**: Skill in debugging student code, diagnosing RAG pipeline bottlenecks, and clarifying model hallucination causes.

Ethics \& Governance Skills

• **Responsible AI**: Deep understanding of AI bias mitigation, data privacy laws, copyright challenges, and safety guardrails.
• **Cost \& Token Management**: Ability to teach students how to optimize API token spending, manage latency, and budget enterprise AI workloads.

Soft Skills

• **Adaptive Communication**: Adjusting the delivery style seamlessly for business executives, product managers, or seasoned software engineers.
• **Continuous Learning**: High intellectual curiosity to stay ahead of the daily shifts in the open\-source and commercial AI landscape.

To help me tailor this skill list, could you let me know if this trainer will be upskilling **non\-technical business teams** or **experienced software developers**? I can also help you format this directly into a **job description or interview rubric** if needed.

• **Prompt Engineering**: Advanced techniques including chain\-of\-thought, few\-shot prompting, and prompt optimization.
• **Frameworks \& Orchestration**: Hands\-on expertise with LangChain, LlamaIndex, and Hugging Face libraries.
• **Model Optimization**: Practical experience in Retrieval\-Augmented Generation (RAG), fine\-tuning, and quantization.
• **Vector Databases**: Proficiency in setting up and querying vector search engines like Pinecone, Chroma, or Milvus.
• **Programming Core**: Strong Python coding skills, specifically handling APIs, JSON manipulation, and asynchronous processes.
• **AI Agents \& Tools**: Framework mastery for building autonomous multi\-agent systems using tools like CrewAI or AutoGen.

:\-if you are Confident enough then Directly reach out to our CEO :\- 8095376784

Thanks \& Regards

YuvaBharat Manesh Reddy

Manager

9603299473

A7 GlobaltechLLP

Pay: ₹25,000\.00 \- ₹100,000\.00 per month

Benefits

• Cell phone reimbursement
• Flexible schedule

Work Location: Hybrid remote in Remote