AIML Consultant
AIML Consultant
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Job Description
About Seva.Ai
Seva is an innovative digital platform designed to combat loneliness and cognitive decline with a special focus on elderly users. Collaborating with universities and research organizations Seva leverages predictive analytics to enhance user wellbeing and foster meaningful social engagement. As we prepare for Phase 1 release by the end of 2024 we are looking for an AI/ML Engineer to help us build and refine personalized insights cognitive health models and behavioral interventions
Role Overview:
As an AI/ML Engineer at Seva.AI you will play a pivotal role in developing intelligent features that enable early detection of cognitive decline personalized wellness recommendations and social connection nudges. You will collaborate closely with product teams data scientists and healthcare experts to ensure the AI models align with our mission to improve mental and emotional wellbeing.
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 AIdriven 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:
Bachelors or masters degree in computer science Data Science Machine Learning or related fields.
Technical Skills:
Proficient in Python and ML frameworks (TensorFlow PyTorch Scikitlearn).
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 wellnessfocused applications is a plus.
Proven track record in personalization algorithms and behavioral analytics is desirable
Soft Skills:
Strong collaboration skills with crossfunctional teams (product healthcare and research partners).
Passion for improving mental wellbeing and social engagement through technology.
Ability to communicate complex technical concepts to nontechnical stakeholders.
Employment Type
Full Time
