Skills:Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, Data Science, Python (Programming Language), Microsoft Azure, Recurrent Neural Networks (RNN),Company OverviewMannMuktt 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 OverviewMannMuktt 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.
Desired Skills and Experience
Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, Data Science, Python (Programming Language), Microsoft Azure, Recurrent Neural Networks (RNN)
