Middle Data Science Engineer (#2560)

2 Months ago • 3 Years + • Artificial Intelligence

Job Summary

Job Description

This role involves developing cutting-edge AI solutions for a leading banking institution in Jordan. Responsibilities include developing, fine-tuning, and optimizing RAG workflows, collaborating with cross-functional teams, conducting research on state-of-the-art AI technologies, designing scalable data pipelines, creating comprehensive documentation, and establishing best practices. The ideal candidate will have a strong background in NLP, generative AI, deep learning, and experience deploying large-scale language models. This is a chance to contribute to innovative AI projects redefining banking services.
Must have:
  • 3+ years NLP, deep learning, generative models experience
  • Experience with LLMs and RAG workflows
  • Proficiency in Python and AWS
  • Master's/PhD in CS, ML, or related field
  • Develop and optimize RAG workflows
  • Collaborate with cross-functional teams
Good to have:
  • Familiarity with Hugging Face Transformers, spaCy, or NLTK
  • Experience with NLP classification models
Perks:
  • Flexible working format
  • Competitive salary and benefits package
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events

Job Details

We are seeking an experienced and skilled ML Engineer to join our team in collaboration with a leading banking and financial institution with a strong presence in Jordan. This role focuses on developing cutting-edge AI solutions to enhance customer experiences, optimize financial operations, and drive innovation in the banking sector.

The ideal candidate should possess a strong background in NLP, generative AI, and deep learning, with practical expertise in deploying large-scale language models and Retrieval-Augmented Generation (RAG) workflows.

This is an exciting opportunity to work with a dynamic and forward-thinking financial institution, contributing to state-of-the-art AI projects that redefine banking services. Join us in shaping the future of finance through the power of technology and innovation.

 

Responsibilities:

  • Developing, fine-tuning, and optimizing Retrieval-Augmented Generation (RAG) workflows, including the integration of generative AI models and algorithms with retrieval systems.
  • Collaborating with cross-functional teams to gather requirements, define project objectives, and align AI solutions with business needs, ensuring seamless integration of RAG-based technologies.
  • Conducting research on state-of-the-art advancements in retrieval systems, generative AI, machine learning, and deep learning techniques, and identifying opportunities to leverage these technologies in our products and services.
  • Designing and implementing scalable and efficient pipelines for indexing and retrieving structured and unstructured data to support high-performance RAG solutions.
  • Creating comprehensive documentation, including technical specifications, guides, and presentations, to clearly communicate complex AI concepts and workflows to both technical and non-technical stakeholders.
  • Establishing and maintaining best practices and organizational standards for the development, deployment, and evaluation of RAG and generative AI models.
  • Developing and fine-tuning NLP classification models and other language-based predictive solutions to enhance retrieval accuracy and improve overall performance of RAG workflows.

 

Requirements:

  • Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
  • 3 + years of experience with NLP, deep learning, and generative models.
  • Familiarity with a range of NLP technologies, such as Hugging Face Transformers, spaCy, or NLTK, and experience with large-scale language model deployments.
  • Experience with AWS.
  • Proficiency in Python
  • Practical experience with LLMs and RAG workflows.
  • Conversational English level (Upper-Intermediate + ).
  • Ukrainian language - advanced or higher
  • Strong problem-solving skills and the ability to communicate complex concepts effectively.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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