Job Description

:Job Summary:We are seeking an experienced AI/ML Subject Matter Expert (SME) with a strong background in data science, advanced AI, and generative models to join our content development team. Primarily, the candidate must have significant experience in training delivery and mentoring teams on these topics. The ideal candidate will possess deep expertise in AI/ML, including Python programming, Generative Adversarial Networks (GANs), Chat GPT, and other generative AI technologies. This role involves creating, reviewing, and enhancing educational and technical content related to these cutting-edge topics.Key Responsibilities:

• Training: Conduct regular training sessions and workshops for internal teams to enhance their skills and knowledge in AI, data science, and data engineering.
• Content Development: Create high-quality educational materials, tutorials, and documentation on advanced AI/ML topics including GANs, Chat GPT, and generative AI.
• Content Review: Review and provide feedback on existing content to ensure technical accuracy and clarity.
• Collaboration: Work with instructional designers, educators, and technical writers to develop comprehensive and engaging learning modules.
• Research: Stay current with the latest advancements in AI/ML, particularly in generative models and data science, to ensure content remains up-to-date and relevant.
• Mentorship: Provide guidance and mentorship to team members and learners on complex AI/ML topics.
• Quality Assurance: Ensure all content meets the highest standards of accuracy, clarity, and pedagogical effectiveness.

Required Skills and Qualifications:

• Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Experience: Proven experience as an AI/ML practitioner or researcher with a focus on advanced AI technologies with significant experience in training and mentoring.

Technical Skills: * Programming Languages: Proficiency in Python programming.

• Machine Learning Algorithms: Expertise in various machine learning algorithms and models.
• Data Science: Strong skills in data collection, preprocessing, analysis, and visualization.
• Generative Adversarial Networks (GANs): Deep understanding and practical experience with GANs.
• Generative AI Technologies: Experience with Chat GPT and other generative AI models.
• ML Frameworks and Libraries: Proficiency with frameworks like TensorFlow, PyTorch, Keras, and scikit-learn.
• Model Deployment: Knowledge of deploying machine learning models in production environments.
• Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Analytical and Problem-Solving Skills: * Analytical Thinking: Ability to break down complex problems and identify solutions using AI/ML techniques.

• Problem Solving: Strong problem-solving skills to tackle challenging AI/ML issues and optimize models.

Communication and Collaboration Skills: * Written Communication: Excellent writing skills to create clear, concise, and engaging content on AI/ML topics.

• Verbal Communication: Ability to explain complex AI/ML concepts to non-experts in an accessible manner.
• Collaboration: Experience working with cross-functional teams, including instructional designers, educators, and technical writers.

Educational and Content Development Skills: * Teaching and Mentoring: Experience in teaching or mentoring others in AI/ML topics.

• Content Creation: Experience in developing educational materials, tutorials, technical documentation, and guides.
• Content Review: Skills in reviewing and providing feedback on technical content to ensure accuracy and clarity.

Research Skills: * Staying Updated: Keeping up with the latest trends, research, and developments in AI/ML.

• Research and Development: Ability to conduct research and apply new findings to improve content and teaching methods.

Preferred Qualifications: * Advanced Degree: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Publication Record: Experience in publishing research papers or technical articles in AI/ML.
• Big Data Technologies: Knowledge of big data tools and technologies like Hadoop, Spark, and Kafka.

Interpersonal Skills: * Team Player: Ability to work effectively as part of a team.

• Adaptability: Flexibility to adapt to changing requirements and technologies.
• Attention to Detail: High attention to detail to ensure accuracy and quality in content development.

Larsen & Toubro