Sme - Ai/ml

SME - AI/ML

LNT/S/1143996

EdutechChennai Manapakkam
- Posted On
18 Sep 2024- Required Experience
4 - 15 Years**Skills**:
Knowledge & Posting Location

DATA SCIENCE - AI

DATA SCIENCE - ML

DATA SCIENCE

Minimum Qualification

MASTER OF COMPUTER SCIENCE (MCS)

MASTER OF COMPUTER APPLICATIONS (MCA)

**Job Description**:
**_ Job Summary:_**

**_ 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**: Bachelor’s or Master’s 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.

**_ 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.