Position: Trainer Job Role: Artificial Intelligence Location: Madhurawada Contact No: hidden_mobile Educational Background Advanced Degree: A masters or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field is typically preferred. Relevant Certifications: Industry-recognized certifications (e.g., TensorFlow Developer Certificate, Microsoft AI certifications, etc.) can be an added advantage. Technical Expertise Machine Learning & Deep Learning: In-depth knowledge of machine learning algorithms, neural networks, deep learning architectures, and reinforcement learning. Programming Skills: Proficiency in languages such as Python (and possibly R) with familiarity in libraries like TensorFlow, PyTorch, scikit-learn, and Keras. Data Handling: Strong understanding of data preprocessing, data visualization, and statistical analysis. Specializations: Exposure to specialized areas such as Natural Language Processing (NLP), Computer Vision, or robotics can be beneficial. Practical Experience Industry Exposure: Hands-on experience with real-world AI projects, from concept to deployment, demonstrating the ability to solve practical problems. Project Portfolio: A well-documented portfolio showcasing projects, research, or implementations in various AI domains. Cloud Platforms: Experience with deploying AI models using cloud services (AWS, Google Cloud, Azure) is often valued. Training and Pedagogical Skills Curriculum Development: Ability to design and deliver a structured, comprehensive curriculum tailored to different skill levels. Communication: Strong verbal and written communication skills to break down complex concepts for diverse audiences. Mentorship: Experience in mentoring or coaching learners, ideally in a classroom or corporate training setting. Soft Skills Problem-Solving: Critical thinking and a proactive approach to troubleshooting and innovation. Adaptability: Ability to stay current with rapidly evolving AI technologies and adjust training materials accordingly. Collaboration: Team-oriented mindset to work effectively with curriculum developers, other trainers, and industry partners. Job Types: Full-time, Part-time Expected hours: 20 per week Schedule: Day shift Language: English (Preferred) Work Location: In person Application Deadline: 28/02/2025 Expected Start Date: 05/03/2025,
Employement Category:
Employement Type: Full time Industry: Education / Training Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Artificial Intelligence Trainer Job in Ignite
Contact Details:
Company: Ignite Skills India Location(s): Other Andhra Pradesh