Data Science Trainer

3 weeks ago

Bengaluru, Karnataka, India CloudThat Full time

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

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