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