Job Description

About Company :Our Client offer scalable IT outsourcing solutions and Global Development Centers (GDCs) that enhance business agility and efficiency. Our services range from individual support to large-scale enterprise transformations, providing the flexibility to scale from 1 to 1000 professionals as needed. Our GDCs drive innovation and R&D, deliver cost-efficient solutions, ensure stringent quality assurance, and provide 24/7 operations. With our expertise and global reach, we empower businesses to optimize their technology investments and achieve exceptional performance in a dynamic market.Job Title : AI/ML Consultant (Production EnvironmentExp : 3 to 5 yrsWork Type : Full TimeWork Mde : Work from officeLocation : Pune or HyderabadBudget : 15 to 21 LPANotice Period : Immediate to 30 daysMandatory Skills : Machine Learning, Cloud, Docker, Kubernetes, Natural Language Processing: AI/ML EngineerAbout 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 well-being 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 well-being.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.

• Mission-Driven Work: Make a tangible difference in combating loneliness and cognitive decline for vulnerable populations.
• - Innovative Collaboration: Work alongside universities and research institutions on cutting-edge health and wellness solutions.
• - Flexible Work Environment: Enjoy a hybrid or remote work setup with competitive benefits.
• - Career Growth: Opportunity to contribute to the Phase 1 release and scale a meaningful product from the ground up.
• Join us on this mission to improve lives through technology, fostering better social connections and cognitive
• health for everyone!

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