Data Scientist
Medline (company site, opens in a new tab)1–3 yrsPuneHybridDirect career pageEst. 7–14 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy machine learning models, including supervised and unsupervised learning algorithms, with focus on AI and Generative AI solutions such as chatbots, LLMs, and RAG systems.
- Execute rapid prototypes and build Minimum Viable Products (MVPs) for AI/ML projects, ensuring integration with enterprise applications alongside AI Engineers.
- Handle data preprocessing, exploratory data analysis, and continuously evaluate and optimize model performance, addressing issues like bias and hallucinations in GenAI outputs.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
- 1-3 years of experience in data science, machine learning, or AI-related roles.
- Proficiency in Python and SQL; familiar with ML frameworks/libraries like scikit-learn, TensorFlow, or PyTorch.
- Experience or exposure to GenAI technologies including LLMs and chatbot development is a plus, but not mandatory.
Ideal Candidate Profile
- Candidate with hands-on experience in ML model development and deployment, particularly with GenAI solutions.
- Comfortable working in collaborative, cross-functional teams with AI engineers and leads to align projects with business needs.
- Experience or keen interest in emerging AI technologies with ability to rapidly prototype and build MVPs in a fast-paced environment.