Data Scientist - Python

Job Title : Data Scientist-6-10

Qualification : Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field.

Experience : 6 To 10 Year(s)

Skill set : Artificial Intelligence / Machine Learning

Domain knowledge :

- 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 audiences.

Job Description :

- 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.