Data Science Trainer

Job Description:

Data Science Trainer

We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem.

The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand

This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields.

Skills:

AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI

Essential Qualifications:

• B.Tech., M.Tech., MCA or equivalent experience
• 2 - 6 years' of experience

Expertise Required:

• Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python.
• Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming.
• Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions.
• Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively.

Key Responsibilities:

Training Delivery:

• Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming.
• Adapt training methods to suit varying levels of expertise, from beginner to advanced learners.

Curriculum Development:

• Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects.
• Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience.
• Regularly update course content to align with advancements in technology and industry trends.

Hands-On Learning:

• Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms.
• Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas.

Mentorship and Support:

• Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems.
• Monitor learners progress, provide constructive feedback, and suggest improvement strategies.

Assessment and Evaluation:

• Develop and administer assessments to evaluate learners understanding and skill levels.
• Analyze test results and provide detailed performance feedback.

Domain-Specific Expertise:

• Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques.
• Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment.
• Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers.

Stay Updated on Trends:

• Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials.
• Maintain familiarity with emerging technologies like generative AI and explainable AI.

Soft Skills and Collaboration:

• Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds.
• Foster an engaging and interactive learning environment, encouraging collaboration among participants.

What We Offer

• Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision.
• Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face.
• Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends.
• Build leadership and communication skills by mentoring learners and engaging with professionals across various industries.
• Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network.
• Grow with the company Be part of our exciting journey as we expand and make an impact in the AI training industry.
• Enjoy early access to leadership opportunities and the chance to shape the companys future direction.

Our Culture & Values

• Startup Culture - Fast-Paced, Collaborative, and Innovative
• A place for growth.
• We believe in nurturing talent and giving everyone the chance to grow professionally and personally
• We work as a team, supporting and learning from each other. Every voice matters here
• We trust our team to take ownership of their work and make meaningful contributions.
• Dynamic startup energy
• Collaborative leadership
• Continuous learning