What you need to know about the role-
Your day to day
In your day to day role you will
- Be a thought leader in understanding the core problems and build relevant Machine Learning based solutions.
- Harmonize data as required and setup models according to the business logic defined.
- Build Generative AI enabled solutions to resolve incidents swiftly via ChatOps platform.
- Deploy ML models in production.
- Communicate insights to business & other stakeholders with careful attention to detail, high quality along with effective storytelling.
- Work in a fast-paced, iterative development environment.
What do you need to bring-
- You have a Bachelor/master’s degree in computer science, Computer Engineering, Mathematics or equivalent work experience.
- You have 3+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions.
- You have experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
- You have experience with commonly used ML techniques and models (Regression, Classification, Time-Series Forecasting, Tree Based models, Neural Networks, Statistical techniques etc)
- Hands on experience working with Large Language Models.
- You have basic knowledge of deep-learning frameworks like Pytorch/Tensorflow
- You have worked in a scrum team for at least a year and practice agile methodologies.
- You have good analytical and problem-solving skills.
- Strong verbal and written communication skills.
- Flexibility and willingness to learn new technologies and adapt quickly.
Travel Percent:
Any general requests for consideration of your skills, please