This is a remote position.
We are seeking a AI/ML Engineer (Python and Numpy) to join our team.
Responsibilties:
- Design and implement machine learning models for mood detection and emotional trend analysis using TensorFlow or PyTorch.
- Analyze user inputs (textbased or interactive features) to generate personalized insights.
Feature Development:
- Collaborate with the team to integrate AIpowered features like the "Emotional Insights Dashboard."
- Develop algorithms to track and predict emotional patterns based on user engagement.
Data Handling:
- Preprocess clean and analyze data to train and test AI models.
- Ensure compliance with data privacy regulations such as GDPR and maintain user confidentiality.
Collaboration and Integration:
- Work closely with backend developers to ensure smooth integration of AI models.
- Test and optimize models to ensure they work efficiently on mobile platforms.
Continuous Improvement:
Monitor the performance of AI features and iterate based on user feedback.
Research and implement stateoftheart AI techniques to enhance app functionality.
Requirements
Proven experience in AI/ML development using frameworks like TensorFlow Keras or PyTorch.
Experience with data analysis feature engineering and model optimization.
Skills:
- Strong understanding of supervised and unsupervised learning methods.
- Knowledge of natural language processing (NLP) is a plus.
- Proficiency in Python and libraries such as Pandas NumPy and Scikitlearn.
Personal Traits:
- Passionate about using AI for mental health solutions.
- Open to feedback and thrives in a collaborative environment.
- Comfortable working in a remote volunteerbased team.
Benefits
- Work Location: Remote
- 5 days working
Proven experience in AI/ML development using frameworks like TensorFlow, Keras, or PyTorch. Experience with data analysis, feature engineering, and model optimization. Skills: Strong understanding of supervised and unsupervised learning methods. Knowledge of natural language processing (NLP) is a plus. Proficiency in Python and libraries such as Pandas, NumPy, and Scikit-learn. Personal Traits: Passionate about using AI for mental health solutions. Open to feedback and thrives in a collaborative environment. Comfortable working in a remote, volunteer-based team.