Data Scientist

Wipro; Al Khobar; On-site; SAR 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented AI Developer to create innovative digital solutions using Generative AI and Python. This role involves designing and implementing cutting-edge applications that tackle complex business challenges, including text generation, sentiment analysis, and document ingestion. You will work with advanced technologies like open-source LLMs and vector stores, ensuring high-quality code and collaboration with cross-functional teams. If you thrive in a fast-paced environment and are passionate about AI, this opportunity is perfect for you to make a significant impact in the tech landscape.

Qualifications

• 5+ years of experience in AI and ML, focusing on Generative AI and Python.
• Expert-level proficiency in Python with experience in frameworks like Flask and Django.

Responsibilities

• Design and develop digital solutions using Generative AI and Python.
• Collaborate with teams to integrate AI-powered solutions with existing systems.

Skills

Generative AI

Python

Streamlit

Flask

Django

LLMs (e.g., LLAMA)

Data manipulation (NumPy, pandas)

Deep learning (TensorFlow, PyTorch, Keras)

Cloud platforms (AWS, GCP, Azure)

Containerization (Docker)

Education

Degree in Computer Science

Degree in Artificial Intelligence

Degree in Machine Learning

Tools

TensorFlow

PyTorch

Keras

Docker

Job description

Key Responsibilities:

1. Design and develop digital solutions using Generative AI, Python, and relevant frameworks (e.g., Streamlit, Flask, Django) to address complex business problems
2. Work with open-source LLMs such as LLAMA to develop and deploy AI-powered applications, including but not limited to:
3. Text generation and summarization
4. Sentiment analysis and opinion mining
5. Question answering and dialogue systems
6. Multi-agent framework and approaches
7. Develop and implement vector store solutions for efficient storage and retrieval of dense vector representations of text data
8. Design and implement document ingestion pipelines to process and index large volumes of text data
9. Create and deploy text embedding models to enable semantic search, clustering, and other NLP tasks
10. Collaborate with cross-functional teams to integrate AI-powered solutions with existing systems and infrastructure
11. Stay up-to-date with the latest advancements in Generative AI, LLMs, and relevant technologies
12. Develop and maintain high-quality, readable, and well-documented code, following best practices and standards
13. Participate in code reviews, ensure adherence to coding standards, and contribute to the improvement of the overall codebase
14. Have a good understanding of database systems and information retrieval

Requirements:

• Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience in AI and ML, with a focus on Generative AI, Python, and digital solution development
• Expert-level proficiency in Python, with experience in popular libraries and frameworks such as:
• NumPy, pandas, and scikit-learn for data manipulation and analysis
• TensorFlow, PyTorch, or Keras for deep learning
• Streamlit, Flask, or Django for web development
• Experience with open-source LLMs such as LLAMA, and a deep understanding of their capabilities and limitations
• Strong knowledge of vector stores, document ingestion, text embeddings, and other relevant technologies for LLM-based solutions
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker)
• Excellent problem-solving skills, with the ability to break down complex problems into manageable components
• Strong communication and collaboration skills, with experience working with cross-functional teams

Ability to work in a fast-paced environment, with a focus on delivering high-quality solutions on time