Research Software Engineer - AI/ML

Bangalore · at least 2-5 years

Posted: Date not provided
Last verified at source: 9 hours ago

### Location: * Bangalore ### Minimum Qualification: * MTech/MS/MSc, has worked with Deep Neural Networks for their thesis * Has worked in the industry for at least 2-5 years as an Machine Learning Engineer ### Ideal Candidates: * Professionals working in the industry in building Deep Neural Networks with a strong aptitude for coding and research would be ideal for the Research Software Engineer position. * MTech/MS/MSc in Computer Science or Mathematics related departments working on Deep Neural Networks as part of their Thesis and with a strong aptitude for coding would be ideal for the Research Software Engineer position. * This position requires strong coding expertise using PyTorch or TensorFlow. * Applicants with hands-on experience in building Diffusion, Graph Neural Networks or Point Cloud Architectures would be given higher priority. ### Responsibilities: * Designing and implementing deep learning algorithms from scratch to solve unique problems * Please note: this in a research and engineering position and not a data analytics or MLOps opening * Write extensive code from scratch for Training, Inference, Data Analysis and Processing * Understanding and deriving mathematical equations * Exhaustive literature review of existing machine learning and deep learning approaches * Understanding data and refining feature set * Learning and Adapting Fast in an early stage start-up * End to end responsibility of R&D, Designing, Development, Testing and Release of products * Working in cross-domain team with software engineers, immunologists, biochemists and bioinformaticians ### Must Have: * Hands-on experience in writing code in one or more programming languages (preferably Python) * Prior professional experience in building custom Deep Neural Networks from scratch * Strong Software Engineering, Machine Learning and Mathematical skills * Prior experience with PyTorch or TensorFlow * Can work and communicate in a cross-domain team * Ability to explore new problem statements * Open to learn and explore new avenues ### Good to Have: * Prior professional experience in building custom Diffusion models * Prior professional experience in building custom Graph Neural Network models * Prior professional experience in building custom Point Cloud Architectures