•We are looking for a Senior AI Engineer to join our team and help build practical AI solutions that turn data and modern AI technologies into real value. You will work across a range of AI and machine learning projects, including work with LLMs, RAG, and agentic AI, and take solutions from idea to production. You will integrate AI models through APIs, fine tune models on our own data, and prepare and structure the data these systems rely on. You will be involved throughout the process, from understanding the problem and preparing data to building, deploying, monitoring, and improving models, and you will provide technical guidance to other members of the team.
+ ' ' + Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience4+ years of hands on experience in AI/ML engineering, applied AI, or data scienceStrong programming skills in PythonStrong understanding of machine learning and deep learning, including model development, optimization, and evaluationStrong data skills, including SQL and experience cleaning, structuring, labeling, and analyzing data to prepare high quality datasets for AI systemsExperience working with large datasets and building AI/ML pipelinesHands on experience developing AI solutions with NLP, LLMs, and generative AI, including integrating LLM APIs into real applicationsHands on experience fine tuning and evaluating modelsPractical experience with prompt engineering, RAG, embeddings, vector databases, and agentic AIExperience building and consuming APIs (REST, SDKs, authentication, rate limits, error handling)Experience deploying and running AI services in production, including on premise environments, with a good understanding of MLOps such as model deployment, monitoring, and versioningStrong communication skills
•fluent Azerbaijani, good English is an advantageExperience with speech technologies such as ASR (speech to text) and TTS (text to speech) is a plusFamiliarity with cloud platforms and containerization such as Docker and Kubernetes is a plusExperience mentoring or technically guiding junior and mid level team members is a strong plus. + ' ' + Opportunities for professional growth and developmentCompetitive salary and bonusesComprehensive insurance coverageSupportive work environmentVisa Premium salary cardCorporate discounts and eventsAdditional vacation daysDiscounted education and employee loansNew cozy studio office in Port Baku Tower 2Strong teamwork with Agile principles, regular team buildings and themed eventsMulticultural environment with foreign colleagues sharing their best experiences + ' ' + Lead AI and machine learning projects from understanding the problem through development and deploymentPrepare, clean, structure, and label data used by AI systems, and analyze datasets to identify useful patterns that support the teamDesign, develop, and improve AI and machine learning solutions for different use casesBuild LLM, RAG, and agent based AI projects, integrate LLM APIs into products and internal tools, and improve their quality, performance, and reliabilityFine tune, evaluate, and optimize models on custom datasetsBuild and improve speech to text and text to speech features and pipelinesDeploy, monitor, and troubleshoot AI features in production, with attention to reliability, latency, and costReview and improve existing models, pipelines, and AI systems for reliability and efficiencyEstablish and promote best practices for model governance and performance monitoringCollaborate closely with data engineers, ML engineers, and product teams to deliver AI solutionsProvide technical guidance and support to junior and mid level team membersKeep up with relevant AI developments and identify practical opportunities to apply new technologies.Kapital Bank iş mühiti, əlavə fürsətlər və digər vakansiyaları görüntüləmək üçün Kapital Bank Life səhifəsinə keçid edin. Vakansiyalardan daha tez xəbərdar olmaq üçün Telegram kanalımıza abunə olun!
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