Technical Trainer- Data Science

Job highlights

• Develop instructor guides,certification frameworks,learner assessments,and delivery aids to support end-to-end training delivery. .
• Experience developing content for professional certifications or enterprise skilling programs. . Instructional design knowledge or training certifications (e.g.,,Microsoft MCT,or similar). . .

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: Bachelors 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