PASHA Holding invites experienced candidates to fill the position of Data Scientist.
Job description:
- Design and develop generative AI infrastructure, including LLM deployment pipelines, vector databases, APIs, and agent orchestration frameworks — used in real-world GenAI platforms such as OpenClaw
- Build LLM-powered applications such as chatbots, document processing systems, content generation tools, and intelligent assistants
- Design, implement, and maintain retrieval-augmented generation (RAG) pipelines, knowledge bases, and data ingestion workflows
- Apply prompt engineering, fine-tuning, and model selection techniques to optimize performance, cost, and latency
- Deploy, monitor, and evaluate production-grade GenAI solutions using LLMOps best practices (evaluation, prompt versioning, guardrails)
- Ensure security, scalability, reliability, and responsible AI compliance across all AI deployments
- Design and implement AI agents and multi-agent systems for workflow automation and decision support
- Collaborate with business, product, and engineering teams across subsidiaries to identify and deliver AI use cases
- Translate technical AI capabilities into actionable insights for stakeholders and leadership
- Track advancements in generative AI and integrate relevant innovations into business solutions
- Contribute to AI transformation initiatives and internal knowledge-sharing activities
Experience, Competencies and Skills Required:
- 2–5 years of experience in data science, machine learning, or applied AI, with strong Python skills and hands-on experience in large language models, prompt engineering, and retrieval-augmented generation (RAG)
- Experience with GenAI frameworks, API development, vector databases, and cloud AI platforms is required
- Familiarity with structured and unstructured data, text and document processing, embeddings, AI agents, and standard development tools such as Git/GitHub and Jupyter Notebooks is expected
- Fluency in Azerbaijani and English is required
How to apply:
- Interested candidates can apply by clicking the link provided in the "Apply" button.
Attention: The candidates will go through initial CV screening review. Those candidates ONLY who succeeds based on CV screening will be contacted via email and/or phone and will be invited to interview.
