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Job Description: AI Trainer (Associate – AIDS / AIML)
Experience: 3-5 years
Type: Full-Time
Location: Kopargaon, Maharashtra (on-campus presence required)
Openings: 1
Position Overview
We are seeking a passionate and technically proficient AI Trainer to deliver high-quality, hands-on training across our flagship Data & AI curriculum. The ideal candidate bridges deep technical expertise with excellent classroom facilitation, ensuring learners gain both conceptual clarity and practical skills. This role requires the candidate to be based on the university campus.
Key Responsibilities
The selected candidate will own and deliver the end-to-end AI curriculum for institutional and upskilling programmes. They will design industry-grade course material, including advanced labs, real-world projects, assessment frameworks, and capstone scenarios. They will also facilitate soft skills components such as communication workshops, group discussions, and presentation practice sessions.
Technical Competencies
The candidate is expected to be proficient in the following areas:
- Python Programming
- Data Visualisation with R and Watson
- DevOps and Cloud
- Business Intelligence with Cognos BI
- Predictive Modelling (SPSS)
- Machine Learning
- Deep Learning
- Spark and Scala Fundamentals
- AI Analyst
- Data Science Advanced Programming
Tools Familiarity
Watson Studio, Cognos 11.x, SPSS Modeler v18+, Apache Spark 3.x, Python, Git, Docker, and Kubernetes.
Language Proficiency
Proficiency in English is required for classroom delivery, technical instruction, documentation, and stakeholder communication. Proficiency in Hindi is required for learner interaction. Proficiency in Marathi is preferred for local learner engagement and support.
Qualifications and Experience
Education: B.E., B.Tech, or M.Sc. in Computer Science or Information Technology, with a specialisation in Data Science, AI, or a related field. A Master’s degree is preferred.
Experience: A minimum of 3-5 years of hands-on work and/or training experience in the AI or Data Science domain, including at least one year of training delivery.
Certification: Any global certification in AI from a reputed institution.
Competitive Coding: Competitive coding experience is desirable, as it reflects strong problem-solving ability, algorithmic thinking, and the capacity to guide learners through complex programming challenges.
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