Job
Description
About the Role: We are seeking a highly motivated and hands-on AI/ML Engineer to design and implement intelligent systems for our mobile health and wellness platform. This role will focus on developing the AI Engine and predictive analytics features that drive our apps core value—delivering actionable health insights to users through real-time data processing and behavioural pattern analysis. As an AI/ML Engineer, you will leverage Amazon SageMaker and industry-standard frameworks like TensorFlow, PyTorch, and Scikit-learn to build, train, and deploy machine learning models. You'll work in close collaboration with the backend, frontend, and data engineering teams to integrate AI/ML services into a secure, scalable, and responsive mobile experience. Key Responsibilities: Design, train, validate, and deploy ML models on Amazon SageMaker to: Predict health trends Generate personalised AI recommendations Calculate life expectancy indicators based on multi-source data Build and maintain data pipelines that ingest data from wearables, healthcare platforms, manual inputs, and sensors Collaborate with the Node.js backend and Flutter frontend teams to integrate ML models into the mobile app via APIs Continuously improve model accuracy using real-world user data, A/B testing, and feedback loops Implement explainable AI techniques to ensure outputs are interpretable and user-friendly Leverage OCR tools (Amazon Textract/Rekognition) to extract data from uploaded health documents and reports Ensure all AI modules are privacy-aware , secure, and meet compliance standards for health-related applications Work with the UI/UX team to translate model outputs into engaging, intuitive data visualisations Initial Phase Deliverables: Phase 1: Life Expectancy Indicator model AI-generated health summaries and visual feedback Emergency prediction triggers (based on wearable or manual input data) AI-integrated dashboard components Phase 2: Personalised health and lifestyle recommendations Deep learning-based behaviour prediction Enhanced carer quality-of-care analysis and service feedback analytics Required Skills & Experience: 3–5 years of experience in machine learning and data science , with end-to-end experience from data prep to model deployment Proficiency with Amazon SageMaker , TensorFlow , PyTorch , Scikit-learn Strong knowledge of Python and relevant ML libraries (e.g., Pandas, NumPy, Matplotlib) Experience integrating ML models into mobile or web apps via REST APIs Solid understanding of time-series data , classification , regression , and recommendation systems Familiarity with health-related datasets , wearable device data , and personalisation algorithms Hands-on experience with OCR pipelines using Textract or equivalent services Strong problem-solving skills and a collaborative, agile mindset Nice to Have: Experience working with HIPAA-compliant systems or health tech products Background in signal processing from wearable sensors Experience working with real-time anomaly detection models Exposure to serverless AI deployment on AWS (Lambda + SageMaker) What We Offer: Opportunity to shape the intelligence layer of an impactful digital health platform Access to cutting-edge tools in AI, wearables, and predictive analytics Collaborative team environment with growth opportunities into Lead AI Engineer or Product Innovation Lead Competitive compensation package Fast-paced, mission-driven culture focused on real-world impact How to Apply: Send your resume and a short cover letter to careers@a1disabilitysupportcare.com.au Subject: AI/ML Engineer – Mobile Health App – Mumbai (Very Important: You NEED TO copy-paste this subject above in the subject field of the email)
