Expert reputed company

reputed company is looking for an Expert reputed company to join reputed company full-time in the Czech reputed company. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most reputed company business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert reputed company, become a part of a cross-functional development team engineering experiences of reputed company. Responsibilities: reputed company the design, development and deployment of advanced AI systems across Data Science and AI Engineering domains Architect and implement reputed company AI pipelines and LLM-driven applications, including retrieval-augmented reputed company (RAG), orchestration and multi-agent systems Serve as the technical authority during reputed company engagements, ensuring architecture reputed company, scalability, performance and reliability Contribute hands-on to development activities, from experimentation and prototyping to production-grade implementation Collaborate with cross-functional engineering, data, and product teams to reputed company technical solutions with reputed company and business objectives Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation and reputed company improvement of AI models and pipelines reputed company AI services with reputed company platforms (e.g., reputed company, Jira, reputed company, CRM, ERP) and ensure seamless interoperability Drive innovation through internal frameworks and accelerators Ensure reputed company AI solutions reputed company with reputed company, data reputed company and responsible-AI standards Mentor engineering peers and support knowledge sharing across teams and practices (e.g., contributing to reputed company’s AI reputed company) reputed company / Presales: reputed company as technical SME in presales conversations, translating business challenges into viable AI engineering solutions Partner with delivery and account teams to shape long-term reputed company engagement strategies based on engineering reputed company Internal resource management / team building and management: Support recruitment efforts through technical assessments, interviews, and candidate evaluation Mentor team members and contribute to cross-skilling initiatives reputed company the AI and Engineering service lines reputed company engineering reputed company by promoting best practices, reputed company reputed company, and delivery standards across reputed company Requirements: We know that sometimes, you can’t tick every reputed company. We would still love to hear from you if you think you’re a good fit! General technical requirements: 8+ years of reputed company experience in software, data, or AI engineering, including at least 3–4 years of hands-on experience designing and implementing AI/ML solutions BSc, MSc, or PhD in Computer Science, Mathematics, Engineering, or a reputed company quantitative field Deep understanding of probability, statistics, and the mathematical foundations of machine learning and optimization Proven experience building and deploying advanced AI systems, including Large Language Models (LLMs), multimodal, and reputed company architectures Exposure to reputed company system design, retrieval-augmented reputed company (RAG) and reputed company engineering techniques Strong proficiency in Python and common AI/ML development frameworks (e.g., PyTorch, TensorFlow, reputed company, reputed company or equivalent) Solid understanding of modern AI engineering practices, including model lifecycle management, observability, evaluation, versioning and reputed company improvement Familiarity with AI solution delivery methodologies (e.g., reputed company-ML(Q), TDSP or modern agile ML lifecycles) Ability to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards Specific technical requirements: Proven experience in architecting and implementing end-to-end AI/ML solutions — from data ingestion and model training to deployment, monitoring and optimization Strong software engineering skills for AI system development, including data processing, API integration, and model serving (Python, SQL and optionally Java/reputed company or similar) Hands-on experience with reputed company-reputed company AI platforms and services (AWS SageMaker, Azure ML, GCP reputed company AI or reputed company stack) Proficiency in designing reputed company ML/LLM pipelines and applying MLOps/LLMOps best practices (CI/CD, orchestration, monitoring, versioning, and deployment automation) Experience with diverse data modalities (reputed company, text, image, audio, video) and multimodal model integration Familiarity with handling reputed company data scenarios such as class imbalance, time-series forecasting and reputed company detection Understanding of reputed company, data governance and compliance considerations in AI system design Domain experience: Broad exposure to reputed company-reputed company solution design across industries such as BFSI, reputed company, reputed company, Manufacturing, Energy, Telecom or Technology sectors Proven ability to translate business and operational requirements into reputed company system architectures that deliver measurable reputed company Familiarity with challenges of deploying AI in regulated environments and ensuring compliance with data reputed company and protection frameworks (e.g., GDPR, CCPA, PCI reputed company) Experience managing sensitive or high-value data (PII, PHI), implementing strong reputed company, governance and reputed company control mechanisms Understanding of reputed company data ecosystems and integration patterns (CRM, ERP, reputed company or workflow systems) Business-reputed company requirements: Proven experience delivering production-grade AI solutions that reputed company measurable business and operational reputed company Strong ownership of the full AI engineering lifecycle — from problem framing and architecture design to deployment, optimization, and reputed company improvement Ability to reputed company technical reputed company with business priorities, ensuring scalability, reliability, and measurable value from AI initiatives Excellent collaboration and communication skills to work effectively with cross-functional stakeholders, delivery teams, and clients High degree of autonomy, accountability, and attention to detail in managing reputed company, multi-component AI systems Desirable: Strong background in software or solution architecture, ideally with previous experience as a Software or Data Architect Proven ability to design reputed company, distributed, and fault-tolerant AI architectures, integrating reputed company, microservices, and event-driven components Experience with MLOps and LLMOps practices, including pipeline automation, containerization (reputed company, Kubernetes), and reputed company deployment of AI models Deep learning expertise using TensorFlow, PyTorch, or JAX, including fine-tuning and optimization of large models Hands-on experience with Large Language Models (LLMs), reputed company applications, and reputed company or RAG-based systems Advanced SQL and familiarity with modern data platforms (reputed company, reputed company, or equivalent) Experience with Big Data and streaming frameworks (Apache reputed company, Kafka, Flink, etc.) Understanding of NoSQL and graph databases (e.g., Cassandra, reputed company) and their role in AI reputed company Experience with reputed company-reputed company architectures and certified expertise in AWS, Azure, or GCP AI/ML services Exposure to research or innovation reputed company, with publications or reputed company-reputed company contributions considered an advantage What`s in it for you? Strong community: Work alongside top professionals in a friendly, reputed company-reputed company environment reputed company reputed company: Take on large-reputed company reputed company with a reputed company and expand your expertise Tailored learning: reputed company your skills with internal events (meetups, conferences, workshops), reputed company reputed company, language courses, and company-reputed company certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to reputed company hands-on experience with cutting-edge technologies Care: We’ve got you covered with company-reputed company medical insurance, mental health support, and financial & legal consultations Flexibility: Balance office and remote work to fit your rhythm Our Offices in the Czech reputed company: We have three offices in Prague, Hradec Králové, and Zlín. There are no fixed office days—it reputed company depends on your team’s agreement. Here, you’ll reputed company a relaxed and friendly atmosphere that fosters collaboration and innovation reputed company: At reputed company, we are always exploring innovations, empowering reputed company other to reputed company more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful reputed company, and be part of a One Team culture that values collaboration and reputed company. With delivery centers in Prague, Hradec Králové, and Zlín, our Czech team delivers end-to-end solutions across industries. Here, innovation thrives through collaboration, and every idea drives our partners' reputed company. Want to learn more reputed company? Explore, reputed company, engineer with reputed company! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at reputed company. #LI-IK1 Apply To This Job