AI/ML Engineer

Job Title: AI/ML (Front end app developer)

Location: Remote(India)

About the Project

Our prototype is an AI-powered mobile application that leverages large language models (LLMs) to provide real-time, personalized word and phrase suggestions during conversations, helping users communicate more effectively and independently.

Position Overview

We are seeking a highly motivated AI/ML & Digital Health Engineer to join our interdisciplinary team. The successful candidate will play a key role in designing, developing, and evaluating AI-driven communication support technologies for patients with neurological language impairments.

This role combines expertise in machine learning, conversational AI, mobile application development, healthcare technology, and human-centered design.

Key Responsibilities

• Design, develop, and optimize AI-powered language assistance features using large language models and related NLP technologies.
• Build and maintain machine learning pipelines for personalization, prediction, and real-time inference.
• Collaborate with clinicians, speech and language therapists, researchers, and patients to translate clinical needs into technical solutions.
• Develop and integrate mobile application components for Android and/or iOS platforms.
• Implement secure, scalable, and privacy-compliant healthcare data workflows.
• Conduct usability testing and support clinical validation studies.
• Evaluate model performance, safety, explainability, and user outcomes.
• Contribute to regulatory, ethical, and digital health compliance considerations.
• Stay current with advances in AI, assistive communication technologies, and digital therapeutics.

Required Qualifications

• Strong experience with machine learning and natural language processing.
• Experience working with large language models (LLMs), prompt engineering, retrieval-augmented systems, or conversational AI.
• Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
• Experience developing mobile or cross-platform applications.
• Understanding of healthcare data privacy, security, and ethical AI principles.
• Ability to work effectively in multidisciplinary clinical and technical teams.

Preferred Qualifications

• Experience in digital health, health technology, medical devices, or assistive technologies.
• Familiarity with speech-language pathology, aphasia, neuro-oncology, or neurological disorders.
• Experience with user-centered design and accessibility-focused product development.
• Knowledge of clinical research methodologies and healthcare regulations.
• Experience deploying AI systems in real-world healthcare environments.

Thanks & Regards,

Imran Khan,

+91-8247747186

[email protected]