- Help learners understand AI, Machine Learning, Generative AI, and the end-to-end AI/ML project lifecycle.

- Guide learners in problem definition, business use-case identification, data preparation, feature engineering, model development, evaluation, and deployment.

- Mentor teams in building AI/ML solutions using Python, Scikit-learn, TensorFlow, PyTorch, Hugging Face, or similar technologies.

- Introduce learners to supervised, unsupervised, deep learning, and Generative AI concepts, along with model selection and optimization techniques.

- Support learners in understanding MLOps practices, including model versioning, deployment, monitoring, logging, and continuous improvement.

- Reinforce Responsible AI principles, including ethics, fairness, security, privacy, governance, and regulatory compliance.

- Guide learners in debugging models, troubleshooting issues, optimizing performance,



and applying AI/ML best practices.

- Coach teams to design end-to-end AI/ML solutions using real-world datasets, technical documentation, and industry use cases.

- Lead, mentor, and support learner project teams throughout all sprints and deliverables.

- Facilitate Agile/Scrum ceremonies, assign weekly tasks, track learner progress, review submissions, and prepare teams for presentations and assessments.

- Conduct sprint retrospectives, maintain project reports, escalate learner issues where required, and collaborate with internal stakeholders and SMEs.

- Maintain skilled learner engagement, uphold Emp.life standards, and mentor new PMs/POs on project facilitation and AI/ML project processes.

📌 Agentic AI Consultant_30+ yrs (India)
🏢 Employabilitylife
📍 India