Company Overview

MannMuktt is at the forefront of transforming mental health care through cutting-edge AI and machine learning technologies. By utilizing advanced tools like speech recognition and facial expression analysis, we strive to make quality mental health support accessible to all. With a vision to lead AI-integrated mental health solutions globally, MannMuktt is headquartered in Bhopal, Madhya Pradesh, and is a prominent player in the Mental Health Care industry.

Job Overview

MannMuktt is seeking a dynamic AI ML Engineer Intern to join our innovative team remotely. This entry-level internship, based in Bhopal, offers freshers an exciting opportunity to dive into the world of AI and ML within the mental health sector. With a work experience requirement of 0-1 year, you will engage in projects that harness technology to revolutionize mental health care globally.

Qualifications and Skills

• Proficiency in machine learning concepts and techniques, with a focus on application within the mental health sector. (Mandatory skill)
• Strong understanding and practical experience with natural language processing to enhance our platform's language-related features. (Mandatory skill)
• Solid knowledge of neural networks, specifically for building models that analyze speech and facial recognition inputs. (Mandatory skill)
• Experience with deep learning frameworks to develop applications aimed at improving user engagement and support.
• Familiarity with data science principles to efficiently handle and analyze mental health data for real-time solutions.
• Proficiency in Python programming language for developing robust and scalable machine learning algorithms.
• Working knowledge of Microsoft Azure for deploying and managing machine learning models in a cloud environment.
• Understanding of recurrent neural networks (RNN) to design systems that track mood and personal progress over time.

Roles and Responsibilities

• Develop and implement machine learning models to enhance the functionalities of our mental health platform.
• Utilize natural language processing techniques to refine and personalize user interactions within the platform.
• Work on building and optimizing neural network architectures for analyzing speech and facial recognition data.
• Collaborate with the data science team to leverage data insights for improving real-time mental health solutions.
• Assist in the integration of AI technologies into existing systems to bolster the accessibility and usability of mental health tools.
• Contribute to continuous improvement processes by researching and prototyping new AI-driven features.
• Deploy machine learning models on Microsoft Azure, ensuring robust performance and scalability.
• Engage in regular team meetings to discuss ongoing projects and align on objectives within the mental health domain.