Job Opportunities

AI & Data Science Trainer Cum Developer

We are seeking a skilled AI & Data Science Trainer cum developer to deliver high-quality training programs and contribute to AI and Data Science projects. The ideal candidate should possess strong technical expertise in these domains and modern data technologies, along with the ability to mentor and inspire learners.

Key Responsibilities:
1.Deliver practical training in Python, Machine Learning, Deep Learning, NLP, LLMs, LangChain, Prompt Engineering, Data Analytics, SQL, Excel, Power BI, Tableau, and related technologies.
2.Develop and update training materials, presentations, assignments, assessments, and project modules with the curriculum team.
3.Mentor students, support project completion, and strengthen their technical and problem-solving skills.
4.Evaluate student performance through assignments, practical assessments, and project reviews, providing constructive feedback for improvement.
5.Stay updated with the latest trends and advancements in AI, Data Science, Machine Learning, and Data Analytics, incorporating relevant industry practices into training.
6.Create and record technical tutorials, demonstrations, and educational content to support learning initiatives.

Qualifications:
1.Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
2.Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), NLP techniques, LLMs, LangChain, SQL, Excel, Power BI, and Tableau.
3.Previous experience in teaching, training, mentoring, or conducting technical sessions will be an added advantage.
4.Excellent verbal and written communication skills with the ability to explain complex concepts in a clear and engaging manner.
5.Candidates with 1–2 years of relevant industry are encouraged to apply.

What We Offer:
1.Opportunities for continuous learning, certification support, and career growth in AI and Data Science.
2.A dynamic and supportive work environment that encourages innovation, teamwork, and knowledge sharing.
3.Attractive salary package commensurate with skills, experience, and qualifications.