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Data Science Trainer
CloudThat · Bengaluru, India
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About CloudThat:- At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have. Role Overview:- We are looking for a passionate and experienced Technical Trainer to join our expert team and help drive knowledge adoption across our customers, partners, and internal teams. Key Responsibilities:
- Deliver high-quality, engaging technical training sessions — both in-person and virtually — to customers, partners, and internal teams.
- Design and develop training content, labs, and assessments based on business and technology requirements.
- Collaborate with internal and external SMEs to draft course proposals aligned with customer needs and current market trends.
- Assist in training and onboarding of other trainers and subject matter experts to ensure quality delivery of training programs.
- Create immersive lab-based sessions using diagrams, real-world scenarios, videos, and interactive exercises.
- Develop instructor guides, certification frameworks, learner assessments, and delivery aids to support end-to-end training delivery.
- Integrate hands-on project-based learning into courses to simulate practical environments and deepen understanding.
- Support the interpersonal and facilitation aspects of training — fostering an inclusive, engaging, and productive learning environment Skills & Qualifications:
- Exposure to AI model development, MLOps pipelines, or data science workflows.
- Experience developing content for professional certifications or enterprise skilling programs.
- Instructional design knowledge or training certifications (e.g., , Microsoft MCT, or similar).
- Minimum: Bachelor's degree in computer science, Engineering, Mathematics, or related field, or equivalent practical experience. Technical Competencies: Strong command over tools and technologies such as:
- Programming in Python, including use of NumPy, Pandas, matplotlib, seaborn
- GPU programming knowledge (CUDA, RAPIDS) is a strong plus
- Familiarity with cloud platforms like AWS, Azure, or GCP
- Experience on Kubernetes, Docker, Git
- GPU programming knowledge (CUDA, RAPIDS) is a strong plus Behavioural Competencies:
- Excellent communication
- Ability to work collaboratively across departments in a fast-paced, matrixed environment.
- Proven ability to deliver technical training and presentations to a range of audiences, from beginners to experts. •Strong analytical and problem-solving skills