Data Scientist Leader
1 month ago
Job Title: Data Scientist Leader
About the Role:
We are seeking a skilled Data Scientist Leader to join our team at i2e Consulting Pvt Ltd. As a Data Scientist Leader, you will play a key role in solving real-world problems in the healthcare domain. You will partner closely with stakeholders, data scientists, and data engineers to develop and implement machine learning algorithms in Generative AI, Vision, and Applied Statistics and Machine Learning space.
Responsibilities:
- Leverage AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems
- Deploy and optimize machine learning solutions on massive datasets using big data technologies
- Develop and prototype AI algorithms and software tools
- Implement enhancements to existing algorithmic/Machine Learning solutions
- Conduct quantitative data analysis using a variety of datasets
- Increase the efficiency and improve the quality of solutions offered
- Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders
- Build and deploy additional functionalities as per client requirements
- Build specialized solutions using LLMs for Chat, QnA, Summarization, document creation, and translation use cases in the healthcare domain
- Contribute to Applied ML research projects, end-to-end ML problem-solving
- Gather a good understanding of the business needs of the project
- Leverage recent advances in machine learning technologies and oversee the team's training
- Lead a team of Data Scientists, developers, as well as clinicians to strategize, design, and evaluate AI-based solutions to healthcare problems
- Take initiatives in innovation and research areas of solution development
Requirements:
- Bachelor's Degree/Master's Degree in Computer Science, Mathematics, Statistics, Physics, Computer Engineering, or related fields from a tier 1 college
- Have 6-9 years of experience in analyzing large volumes of data and building predictive models
- Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing
- Hands-on experience developing applications and solutions using the latest LLMs
- Have an excellent understanding of the computer vision techniques applied to the pharmaceutical domain
- Have an excellent academic background with strong hands-on knowledge of Python and SQL
- Hands-on Software Development Skills (Python preferred)
- Understand the core concepts of Machine Learning, Deep Learning, Transformers, and the math behind it
- Have good knowledge of existing ML tools like Tensorflow, Pytorch, Pyspark, SK learn
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