<p><p><b>Primary Function :</b><br/><br/></p><p>As a Senior Data Scientist, you will :<br/><br/></p><p>- Collaborate closely with engineering and product teams to design and deliver data-driven solutions.<br/><br/></p><p>- Communicate and present complex analytical insights and technologies effectively to stakeholders across technical and non-technical teams.<br/><br/></p><p>- Drive end-to-end ML solution development from problem scoping, data preparation, and model development to production deployment, monitoring, and iterative improvement.<br/><br/></p><p>- Stay updated with the latest research trends in Deep Learning, Computer Vision, and NLP to bring innovative approaches to projects.<br/><br/></p><p>- Rapidly prototype, test, and evaluate new algorithms for business-critical use cases.<br/><br/></p><p>- Build robust evaluation pipelines for fine-tuning and deploying large-scale models, including text-only and multimodal SLMs.<br/><br/></p><p>- Ensure the scalability, reliability, and performance of deployed ML models in production systems.<br/><br/><b>Qualification & Competency :</b><br/><br/></p><p>- Bachelors or Masters degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Econometrics, or a related field.<br/><br/></p><p>- Advanced degrees (Masters or PhD) and research experience (e.g., publications in top-tier conferences/journals).<br/><br/></p><p>- 3-5 years of experience in building complete ML products; from the problem analysis and data selection to their production deployment and monitoring for progressive enhancements and drifts from business impact.<br/><br/></p><p>- Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP.<br/><br/></p><p>- Ability to rapidly prototype and evaluate algorithms.<br/><br/></p><p>- Experience on working with text only and multimodel SLMs will be a big plus.
This involves finetuning and building robust eval pipelines specific to use cases.<br/><br/></p><p>- Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow.<br/><br/></p><p>- Good programming skills is a must, especially skills relevant to building robust ML models.<br/><br/></p><p>- Domain experience in Fintech is preferred, but not mandatory.<br/><br/></p><p>- Experience of publishing in top-tier conferences and journals will be considered a plus.<br/><br/></p><br/></p> (ref:hirist.tech)