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We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization. This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
Job Responsibility:
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices
Partner in defining end-to-end AI solution architecture – from infrastructure to product
Support selection and implementation of models, platforms, and advanced AI/ML tools
Manage risks and address scalability, security, and regulatory aspects of AI solutions
Write architecture documents, conduct technology reviews, and contribute to strategic projects
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products
Requirements:
10+ years of software development experience, with significant specialization in AI / Machine Learning
Strong expertise in Python and libraries such as TensorFlow / PyTorch / HuggingFace / Scikit-learn
Experience with LLMs and Generative AI
Deep understanding of MLOps infrastructure, including CI/CD for models, model serving, and monitoring
Experience working with cloud services (AWS / GCP / Azure) and building distributed architectures
Excellent technical writing, solution presentation, and cross-team collaboration skills
Nice to have:
Experience with SaaS products or complex multi-user systems
Background in Data Engineering or DevOps
Proven experience as a solutions or infrastructure architect in AI or Big Data
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