**Job Description**
**Role - Data Scientist**
**Experience - 4 to 15 years**
- **Advanced degree in mathematics, statistics, computer science, or related field.**
- **Strong knowledge of statistical analysis, machine learning, and deep learning.**
- **Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).**
- **Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.**
- **Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.**
- **Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution.**
- **Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.**
- **Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.**
- **Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.**
- **Implementing MLOps practices for model deployment, monitoring, and management.**
- **Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).**
- **Staying updated with the latest advancements in data science, generative AI, and cloud AI services.**
- **Experience in developing and deploying AI/Gen AI based systems in production.**
- **Mentoring junior data scientists and providing technical guidance.**
Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.