Consultant - Data Scientist

AI Engineer (Mid-Level)

Responsibilities :

• Design, develop, and implement AI / ML models and algorithms.
• Build Proof of Concept (POC) applications to showcase feasibility and value of AI solutions.
• Write clean, efficient, and well-documented code.
• Collaborate with data engineers to ensure data quality for model training and evaluation.
• Work with senior team members to understand requirements and contribute to technical solutions.
• Troubleshoot and debug AI / ML models and applications.
• Stay current with AI / ML advancements.
• Use ML frameworks (TensorFlow, PyTorch, Scikit-learn) for model development and deployment.
• Deploy AI solutions on Google Cloud Platform (GCP).
• Implement data preprocessing and feature engineering with Pandas and NumPy.
• Utilize Vertex AI for training, deployment, and management.
• Integrate Google Gemini for specific AI functionalities.

Qualifications :

Skills Required

Tensorflow, Machine Learning, Pytorch, Google Cloud Platform, Python