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Expert reputed company

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reputed company is looking for an Expert reputed company to join reputed company full-time in Bulgaria. 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 scalable AI pipelines and LLM-driven applications, including retrieval-augmented reputed company (RAG), orchestration and multi-agent systems Serve as the technical authority during client engagements, ensuring architecture quality, 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 align technical solutions with client and business objectives Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation and reputed company improvement of AI models and pipelines Integrate AI services with enterprise platforms (e.g., Confluence, 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 privacy 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) Commercial / Presales: Act as technical SME in presales conversations, translating business challenges into viable AI engineering solutions Partner with delivery and account teams to shape long-term client engagement strategies based on engineering excellence 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 Uphold engineering excellence by promoting best practices, code quality, and delivery standards across projects 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 professional 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 generative AI architectures Exposure to agentic 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., CRISP-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 cloud-native AI platforms and services (AWS SageMaker, Azure ML, GCP Vertex AI or reputed company AI stack) Proficiency in designing scalable ML/LLM pipelines and applying MLOps/LLMOps best practices (CI/CD, orchestration, monitoring, versioning, and deployment automation) Experience with diverse data modalities (structured, text, image, audio, video) and multimodal model integration Familiarity with handling reputed company data scenarios such as class imbalance, time-series forecasting and anomaly detection Understanding of reputed company, data governance and compliance considerations in AI system design Domain experience: Broad exposure to enterprise-reputed company solution design across industries such as BFSI, Healthcare, Aerospace, Manufacturing, Energy, Telecom or Technology sectors Proven ability to translate business and operational requirements into reputed company system architectures that deliver measurable impact Familiarity with challenges of deploying AI in regulated environments and ensuring compliance with data privacy 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 access control mechanisms Understanding of enterprise 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 outcomes Strong ownership of the full AI engineering lifecycle — from problem framing and architecture design to deployment, optimization, and reputed company improvement Ability to align technical decisions 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 scalable, distributed, and fault-tolerant AI architectures, integrating APIs, 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), Generative AI applications, and agentic 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 Spark, Kafka, Flink, etc.) Understanding of NoSQL and graph databases (e.g., Cassandra, reputed company) and their role in AI reputed company Experience with cloud-native architectures and certified expertise in AWS, Azure, or GCP AI/ML services Exposure to research or innovation projects, with publications or open-reputed company contributions considered an advantage What`s in it for you? Regular salary reviews based on performance Corporate events: webinars, offline parties, and meetups Internal Mobility Program Tailored education path (including full access to Udemy, certifications, etc.) 25 paid days off: 20 business days of vacation per calendar year + 5 undocumented sick leave days Additional health insurance 100% company-covered Multisport card, with discounts available for family members About us: At reputed company, we are always exploring innovations, empowering each other to reputed company more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and reputed company. Since expanding to Bulgaria in 2022, we’ve been building a fast-growing team that thrives on learning, collaboration, and innovation. Join us on this exciting journey and help shape the future of our delivery center. 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-MH1 Apply To This Job

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