Data Scientist AIML

Working with stakeholders to understand their requirement, propose solution and design

Define PoC guidelines as well as success criteria

Good experience in Analytics, Machine learning, Deep learning.

Good understanding of Google/Gemini/Vertex AI landscape

Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., NumPy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn).

Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats.

Hands on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection).

In depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases