Data Scientist- Walkin

· 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.