Data Science (Artificial Intelligence & Machine Learning) Consultant

Plant.Digital; Dammam; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading company in digital solutions is seeking an experienced AI and ML Expert to join their team. The ideal candidate should have extensive knowledge in Generative AI, Python, and related technologies, capable of designing innovative AI-powered applications. Responsibilities include developing solutions with open-source LLMs, implementing vector stores, and collaborating with teams to integrate AI solutions seamlessly.

Qualifications

• 5+ years of experience in AI and ML, focusing on Generative AI and digital solutions.
• Expert-level proficiency in Python and experience with relevant libraries.
• Strong knowledge of vector stores and document ingestion.

Responsibilities

• Design and develop digital solutions using Generative AI, Python, and relevant frameworks.
• Work with open-source LLMs to develop and deploy AI-powered applications.
• Develop and implement document ingestion pipelines.

Skills

Python

Generative AI

Machine Learning

Problem-solving

Collaboration

Education

Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Tools

NumPy

pandas

scikit-learn

TensorFlow

PyTorch

Keras

Streamlit

Flask

Django

AWS

GCP

Azure

Docker

Job description

Job Summary:

We are seeking an experienced AI and ML Expert with a strong background in Generative AI, Python, and digital solution development to join our team. The ideal candidate will have a deep understanding of cutting-edge technologies, including open-source Large Language Models (LLMs) such as LLAMA, and expertise in creating digital solutions using popular python frameworks. The candidate will be responsible for designing, developing, and deploying innovative AI-powered solutions that leverage the capabilities of LLMs, vector stores, document ingestion, text embeddings, and other relevant technologies.

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: Text generation and summarization, Sentiment analysis and opinion mining, Question answering and dialogue systems, multi-agent framework and approaches.
3. Develop and implement vector store solutions for efficient storage and retrieval of dense vector representations of text data.
4. Design and implement document ingestion pipelines to process and index large volumes of text data.
5. Create and deploy text embedding models to enable semantic search, clustering, and other NLP tasks.
6. Collaborate with cross-functional teams to integrate AI-powered solutions with existing systems and infrastructure.
7. Up to date with the latest advancements in Generative AI, LLMs, and relevant technologies.
8. Develop and maintain high-quality, readable, and well-documented code, following best practices and standards.
9. Participate in code reviews, ensure adherence to coding standards, and contribute to the improvement of the overall codebase.
10. Have good understanding on DB 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-based 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.