We are looking for an experienced AI/ML & Generative AI Trainer with strong hands-on expertise in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, and Agentic AI .
Key Responsibilities:
Deliver engaging online and classroom training, workshops, and bootcamps.
Develop hands-on labs, projects, assessments, and industry-relevant learning content.
Train learners on AI/ML, Deep Learning, GenAI, RAG, LLMOps, and Agentic AI .
Mentor internal trainers and partner faculty.
Incorporate real-world use cases and practical projects into training programs.
Requirements:
Strong expertise in Python, Scikit-learn, TensorFlow, PyTorch, or Keras .
Hands-on experience with LLMs, Prompt Engineering, RAG, Vector Databases, and LLM Fine-tuning .
Experience with LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK .
Knowledge of MCP, tool/function calling, and multi-agent systems .
Excellent communication, presentation, facilitation, and mentoring skills.
Position : AI/ML ArchitectLocation : BangaloreJob Summary : We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical ...
... Support testing, troubleshooting, deployment, and continuous improvement of AI/ML solutions. - Translate business requirements into technical AI/ML solutions while maintaining development standards and documentation. Qualifications - Strong hands-on experience in AI/ML development , including model design, training, deployment, ...
... machine learning models, translating business requirements into scalable technical architectures. - Execute rigorous model validation and monitoring protocols to maintain system accuracy, reliability, and performance in dynamic environments. - Manage the production deployment of AI solutions, ensuring seamless integration with ...
... meaningful insights. 4. Develop and integrate AI/ML models into applications and production environments. 5. Work with Natural Language Processing (NLP), Generative AI, Large Language Models (LLMs), or other AI technologies as required. 6. Perform data preprocessing, feature engineering, model training, and performance evaluation. ...
... solutions. - Develop scalable AI pipelines and production-ready ML applications. - Implement MLOps practices for model deployment, monitoring, versioning, and retraining. - Collaborate with data engineers, software developers, product managers, and business stakeholders. - Mentor and guide AI/ML engineers and ensure high-quality ...
... experience delivering AI/ML solutions, with strong depth in classical ML, deep learning, and NLP.- Proven experience leading and delivering multiple large-scale AI projects from idea to production across diverse domains.- Strong expertise in ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and modern deep learning ...
... https://jobeax.com/link/9eP8Qnvp1EAxdlgp : AI ML/Generative AI https://jobeax.com/link/ErLYnG85vQscgBdO : Hyderabad/ https://jobeax.com/link/9lVDk7Vnq94EYGjM Skills :GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows/ Fullstack/React.js.Key Qualifications ...
... experience delivering AI/ML solutions, with strong depth in classical ML, deep learning, and NLP.- Proven experience leading and delivering multiple large-scale AI projects from idea to production across diverse domains.- Strong expertise in ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and modern deep learning ...
... https://jobeax.com/link/w1d7bRHtPmfLc8oX Skillset:- Demonstrated expertise in building and deploying production-grade models using Tensorflow and PyTorch, with a deep understanding of AI architecture patterns.- Proven ability to design and maintain robust ML pipelines, ensuring high availability and low latency in distributed computing environments.- ...