Code.Hub
Overview
We are the 1st Hub for Developers! Our motto is “From Developers to Developers” ! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts! Our client
Our client
is an international solutions provider for the Banking and Investment Management industry, listed on the Athens Stock Exchange, with clients in more than 50 countries. The company has recently established the AI & Innovation Department , a dedicated team focusing on developing and delivering applied AI solutions
to enhance its product portfolio and client offerings. Job Summary
As an AI Engineer , you will be a key member of the AI & Innovation team, working closely with other engineers and the Head of AI. You will be responsible fordesigning, developing, and deploying AI models and pipelines, with a strong focus onLarge Language Models (LLMs) and Generative AI. This is a hands-on role, ideal for someone passionate about applying state-of-the-art AI technologies to real-world enterprise problems in the financial services domain. Responsibilities
Design and implement end-to-end ML/LLM pipelines (data preprocessing, embeddings, model integration, deployment). Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings. Work on document intelligence projects, including parsing, classification, and information extraction from unstructured text. Contribute to text-to-SQL and text-to-API solutions, enabling natural language queries over structured data and APIs. Collaborate with the team to build speech-to-text models (with a focus on Greek language datasets). Integrate models into enterprise applications using APIs, Docker, and cloud environments. Evaluate, monitor, and improve the performance of AI systems in production. Stay up to date with the latest trends in Generative AI, NLP, and ML research. Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 3–5 years of experience in Machine Learning, Data Science, or AI Engineering, with at least 1–2 years hands-on experience with LLMs/Generative AI. Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, HuggingFace Transformers). Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, HuggingFace). Hands-on experience with RAG pipelines, vector databases (e.g. FAISS, Pinecone, Chroma), and LangChain. Knowledge of prompt engineering, fine-tuning, and model evaluation. Experience deploying ML models into production using APIs, Docker, cloud platforms (Azure, AWS, or GCP). Familiarity with SQL and structured data processing. Strong problem-solving skills and ability to adapt AI solutions to new business domains (finance/banking experience is a plus). Nice-to-Have
Experience with speech-to-text systems or multilingual NLP. Previous exposure to financial services/banking applications. Familiarity with MLOps tools (monitoring, CI/CD for ML, LangSmith, LangFuse). What They Offer
Hybrid working model. Opportunity to work on cutting-edge AI projects with real-world impact in the financial services industry. Exposure to international clients and enterprise-grade solutions. A collaborative, innovation-driven environment with growth opportunities.
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We are the 1st Hub for Developers! Our motto is “From Developers to Developers” ! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts! Our client
Our client
is an international solutions provider for the Banking and Investment Management industry, listed on the Athens Stock Exchange, with clients in more than 50 countries. The company has recently established the AI & Innovation Department , a dedicated team focusing on developing and delivering applied AI solutions
to enhance its product portfolio and client offerings. Job Summary
As an AI Engineer , you will be a key member of the AI & Innovation team, working closely with other engineers and the Head of AI. You will be responsible fordesigning, developing, and deploying AI models and pipelines, with a strong focus onLarge Language Models (LLMs) and Generative AI. This is a hands-on role, ideal for someone passionate about applying state-of-the-art AI technologies to real-world enterprise problems in the financial services domain. Responsibilities
Design and implement end-to-end ML/LLM pipelines (data preprocessing, embeddings, model integration, deployment). Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings. Work on document intelligence projects, including parsing, classification, and information extraction from unstructured text. Contribute to text-to-SQL and text-to-API solutions, enabling natural language queries over structured data and APIs. Collaborate with the team to build speech-to-text models (with a focus on Greek language datasets). Integrate models into enterprise applications using APIs, Docker, and cloud environments. Evaluate, monitor, and improve the performance of AI systems in production. Stay up to date with the latest trends in Generative AI, NLP, and ML research. Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 3–5 years of experience in Machine Learning, Data Science, or AI Engineering, with at least 1–2 years hands-on experience with LLMs/Generative AI. Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, HuggingFace Transformers). Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, HuggingFace). Hands-on experience with RAG pipelines, vector databases (e.g. FAISS, Pinecone, Chroma), and LangChain. Knowledge of prompt engineering, fine-tuning, and model evaluation. Experience deploying ML models into production using APIs, Docker, cloud platforms (Azure, AWS, or GCP). Familiarity with SQL and structured data processing. Strong problem-solving skills and ability to adapt AI solutions to new business domains (finance/banking experience is a plus). Nice-to-Have
Experience with speech-to-text systems or multilingual NLP. Previous exposure to financial services/banking applications. Familiarity with MLOps tools (monitoring, CI/CD for ML, LangSmith, LangFuse). What They Offer
Hybrid working model. Opportunity to work on cutting-edge AI projects with real-world impact in the financial services industry. Exposure to international clients and enterprise-grade solutions. A collaborative, innovation-driven environment with growth opportunities.
#J-18808-Ljbffr