Vakansiyanın detalları
- Əmək haqqı: Razılaşma yolu ilə
- Kateqoriya: Mühəndis
Vakansiyanın təsviri
- Lead the design and development of production-ready NLP and LLM-based algorithms, from data preprocessing to deployment.
- Drive and own the preprocessing pipeline, including data cleansing, normalization, tokenization, and annotation workflows.
- Design, test, and iterate on prompt engineering strategies to optimize LLM performance for specific tasks, including few-shot and zero-shot approaches.
- Implement and optimize retrieval-augmented generation (RAG) pipelines to enable context-aware generation and better factual grounding.
- Build and manage agentic LLM pipelines where models can interact with tools, APIs, and memory (e.g., via LangChain or custom frameworks).
- Provide technical leadership and mentorship to AI engineers: Delegate and review tasks; Conduct code and model reviews; Introduce best practices in ML workflows and documentation.
- Architect modular and scalable ML codebases to support long-term product evolution.
- Collaborate with the web development team to integrate ML APIs/services into the broader system architecture.
- Proactively identify and resolve bottlenecks, performance issues, or data quality challenges in collaboration with stakeholders.
Xüsusi tələblər
- 5+ years of experience in machine learning engineering, with at least 2 years in NLP and/or LLM-based systems.
- Strong expertise in data pre-processing, including regular expressions, data normalization, and pipeline design.
- Deep understanding of modern LLM architectures (e.g., transformer-based models) and vector-based retrieval (RAG, BM25, etc.).
- Experience with prompt engineering techniques and tools (e.g., LangChain, Guidance, PromptLayer, etc.).
- Understanding of agentic frameworks and orchestration of LLM-based agents using tools, search, and memory.
- Proven experience leading ML projects and mentoring technical team members.
- Ability to work collaboratively with cross-functional teams, including web/frontend/backend engineering.
- MSc or PhD in Computer Science, Machine Learning, AI, or a related field.
- Familiarity with containerization (Docker), cloud deployment (AWS/GCP/Azure), and RESTful API design.
- Contribute to shaping the corporate AI strategy and provide input to product management and executive stakeholders.
Müraciət üçün (CV): https://eigroup.breezy.hr/p/bfc8feb719a1-lead-ai-engineer
Yeni vakansiyaları operativ almaq üçün Telegram-kanalımıza qoşulun
Oxşar vakansiyalar
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Beyləqan, Biləsuvar, Xaçmaz, Gəncə, Masallı, Lənkəran, Tərtər, Tovuz, Quba, Bərdə, Ağcabədi, Cəlilabad, Goranboy, İmişli, Göyçay, Qazax, Sabirabad, Salyan, Şəmkir, Şirvan, Yevlax
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400 - 800 AZN
