Data Scientist

Key Deliverables:

1. Design, develop, and implement AI/ML algorithms.
2. Lead AI/ML projects from start to finish, guiding team members new to the field.
3. Prepare data for model training and productionize machine learning models.
4. Work on large and skewed data sets and implement solutions for real-world applications.

Role Responsibilities:

1. Hands-on experience with machine learning and deep learning frameworks (TensorFlow, Keras, PyTorch).
2. Strong command of data preparation techniques and tools (Pandas, Numpy).
3. Implement AI/ML algorithms and productionize them for business use.
4. Collaborate with team members, communicate effectively, and learn new domains and technologies.