Data Science Trainer

Anudip Foundation For Social Welfare; Hyderabad; On-site; INR 550,000 - 900,000; Full time

Job summary

Anudip Foundation For Social Welfare in Hyderabad seeks an AI/ML trainer to design AIML training programs and deliver hands-on sessions. You will conduct deep learning workshops using Python and build NLP models to enhance customer service interactions, collaborating with subject matter experts to tailor data science solutions.

Ideal candidates have 0-3 years of experience and a solid grounding in AI/ML concepts, Python and its libraries like NumPy and Pandas.

Qualifications

• 0-3 years of experience in AIML, deep learning, or related fields.
• Strong understanding of artificial intelligence, machine learning, and natural language processing concepts.
• Proficiency in Python programming language with knowledge of relevant libraries such as NumPy, Pandas, etc.

Responsibilities

• Design and develop AIML training programs for clients.
• Conduct deep learning workshops and provide hands-on training on Python programming language.
• Develop natural language processing models using machine learning algorithms to improve customer service interactions.
• Collaborate with subject matter experts to create customized data science solutions.

Skills

AIML

Deep learning

Natural Language Processing

Python programming

Tools

Python

NumPy

Pandas

Job description

Roles and Responsibilities :

• Design and develop AIML (Artificial Intelligence Markup Language) training programs for clients.


• Conduct deep learning workshops and provide hands-on training on Python programming language.


• Develop natural language processing models using machine learning algorithms to improve customer service interactions.


• Collaborate with subject matter experts to create customized data science solutions.

Job Requirements :

• 0-3 years of experience in AIML, deep learning, or related fields.


• Strong understanding of artificial intelligence, machine learning, and natural language processing concepts.


• Proficiency in Python programming language with knowledge of relevant libraries such as NumPy, Pandas, etc.