Data Science Trainer

Company Description

Naresh i Technologies, founded in 2004 and headquartered in Hyderabad, India, is a leading software training institute specializing in IT training, project guidance, consulting, and technology workshops. The organization employs innovative training approaches and global delivery methodologies to enhance business performance, improve productivity, and support customer service excellence for clients worldwide. Naresh i Technologies provides a comprehensive eLearning platform, internship opportunities, and free placement services to its students, fostering career growth. The institute also collaborates with colleges to enhance campus placements and offers advanced training programs at its state-of-the-art facilities. Catering to clients across industries, including Banking, Insurance, and Information Technology, Naresh i Technologies is a trusted partner for global organizations.

Role Description

The Data Science Trainer is a full-time, on-site role based in Hyderabad. Responsibilities include designing and delivering engaging training sessions that cover core concepts in data science, including statistics, programming, data analysis, machine learning , Deep learning, Generative AI, Agentic AI & Prompt Engineering techniques . Trainers will train students, conduct hands-on workshops, prepare lesson plans, and evaluate learners performance. They will also ensure course content aligns with industry requirements, guiding students in their career growth and providing feedback to enhance learning outcomes.

Qualifications

• Mandatory to have work experience as an offline or online trainer
• Proven experience as a Qualified Trainer with a focus on effective teaching methodologies
• Proficiency in Lesson Planning, curriculum development, and resource management
• Solid understanding of data science concepts and their practical applications
• Strong organizational and communication skills
• Ability to mentor and guide students to develop essential technical and analytical skills
• Familiarity with data science tools and programming languages (e.g., Python, R) is must.
• Familiarity with MLOPs will be an added advantage.