Data Science and AI Engineer

Job Description

Company: Adiuvo Diagnostics Pvt. Ltd. www.adiuvodiagnostics.com Job Title: Data Science and AI Engineer About Us: Adiuvo Diagnostics is a deep-tech medical startup developing next-generation diagnostic solutions. Our interdisciplinary team combines expertise in optics, electronics, microbiology, and artificial intelligence to create innovative point-of-care medical technologies. Role Summary: We are seeking a talented and collaborative engineer to join our software and ML development team. This role will focus on designing and integrating machine learning and deep learning models into our diagnostic platforms, including mobile and cloud-based solutions. Key Responsibilities: Develop and deploy machine learning models for medical imaging and data analysis Work on Android application development and integration Implement backend infrastructure on Google Cloud Platform and Firebase Handle complex and large-scale datasets for training and validation Perform feature extraction, optimization, and time series analysis Collaborate with interdisciplinary teams to integrate ML algorithms into real-world products Required Skills & Experience: Proficiency in Java , object-oriented programming , and Android development Experience with Google Cloud Platform , Firebase , and cloud-based architecture Strong background in Machine Learning and Deep Learning techniques Knowledge of Bayesian statistics , multivariate analysis , and time series analysis Experience in handling large datasets and optimizing models Proficient in Python and familiar with key ML libraries (e.g., TensorFlow , scikit-learn , Spark , R ) Strong communication skills and ability to work in cross-functional teams Qualifications: Bachelor?s or Master?s degree in Computer Science, Data Science, or a related field Hands-on experience with relational databases and SQL Nice to Have: Prior experience in healthcare or biomedical applications Familiarity with medical imaging datasets or clinical data workflows If you're passionate about using technology to make real-world impact in healthcare, we'd love to hear from you!