Artificial Intelligence/Machine Learning Engineer - Predictive Modeling (3-10 yrs)

Job Description :

Key Responsibilities :

- Develop Predictive Models : Build and deploy AI/ML models to detect patterns related to loneliness, cognitive decline, and behavioral changes.

- Design Personalization Algorithms : Create recommendation systems to match users with relevant social activities, cognitive exercises, or community groups.

- Behavioral Insights Analysis : Develop models to analyze user engagement patterns and identify triggers for disengagement.

- Integration with App Features : Work with engineering teams to integrate AI-driven insights seamlessly into the app (e.g., mood tracking, cognitive assessments).

- Data Pipeline Management : Create and maintain data pipelines to collect, preprocess, and train on structured and unstructured data (e.g., surveys, app activity logs).

- Collaborate with Research Partners : Work alongside researchers and universities to validate models and incorporate cognitive science findings into ML solutions.

- Monitor and Optimize Models : Continuously evaluate and optimize models for performance, accuracy, and fairness, ensuring compliance with ethical AI guidelines.

- User Privacy and Data Security : Ensure adherence to data privacy laws (HIPAA, GDPR) while processing user data.

Qualifications :

Education :

- Bachelor's or master's degree in computer science, Data Science, Machine Learning, or related fields.

Technical Skills :

- Proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Experience with NLP, recommendation systems, and predictive modeling.

- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools for deployment and monitoring.

- Solid understanding of data privacy regulations and ethical AI practices.

Experience :

- 3+ years of experience in developing and deploying AI/ML models.

- Experience in healthtech or wellness-focused applications is a plus.

- Proven track record in personalization algorithms and behavioral analytics is desirable

Soft Skills :

- Strong collaboration skills with cross-functional teams (product, healthcare, and research partners).

- Passion for improving mental well-being and social engagement through technology.

- Ability to communicate complex technical concepts to non-technical stakeholders.