Data Scientist - Python

Job Title :

• Strong working knowledge of the Google Cloud Platform (GCP) and its AI/ML services.
• Proven experience in chatbot creation and development using relevant frameworks.
• Proven experience in developing and implementing machine learning models.
• Strong programming skills in Python, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras , Matplotlib and Seaborn.
• Proficiency in SQL querying and database management.
• Experience with front-end frameworks such as React or Angular and CSS.
• Experience with back-end frameworks such as Django, Flask, or FastAPI.
• Experience in prompt engineering for large language models (LLMs), including prompt design, optimization, and evaluation.
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical Description :
• Deploy and manage AI/ML applications on the Google Cloud Platform (GCP).
• Design, develop, and implement conversational AI solutions using various chatbot frameworks and platforms.
• Design, develop, and optimize prompts for large language models (LLMs) to achieve desired outputs.
• Develop and implement machine learning models using supervised, unsupervised, and reinforcement learning algorithms.
• Utilize Python with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras to build and deploy machine learning solutions.
• Create visualizations using Matplotlib and Seaborn to communicate insights.
• Write and optimize SQL queries to extract and manipulate data from various databases.
• Develop and maintain web applications and APIs using Python frameworks such as Django, Flask, or FastAPI.
• Build user interfaces using JavaScript frameworks such as React or Angular, along with CSS.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Communicate complex technical concepts and findings to non-technical stakeholders through presentations and reports.