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Placements24 is seeking a highly experienced Architect for scalable AI and Machine Learning solutions. This fully remote role focuses on defining an technical architecture, selecting technologies, and guiding production-ready AI-driven products addressing complex business challenges.
You will collaborate with product managers, data scientists, and engineers to translate requirements into blueprints, ensure deployment success, and stay ahead of AI and cloud-native best practices in a remote,
Our client is seeking a highly experienced and innovative Arquitecto de Soluciones de IA y Machine Learning Escalables to join their rapidly growing team. This is a fully remote position, ideal for a strategic thinker who can design robust, scalable, and efficient AI and ML solutions. You will be responsible for defining the technical architecture, selecting appropriate technologies, and guiding the implementation of AI-driven products and services that address complex business challenges. The successful candidate will possess a deep understanding of AI/ML principles, cloud computing platforms, and best practices for building production-ready systems. You will collaborate with product managers, data scientists, and engineers to translate business requirements into technical blueprints and ensure the successful deployment of cutting-edge AI solutions. If you are passionate about leveraging AI to drive business value and thrive in a collaborative, remote environment, this role is an exceptional opportunity.
Design and architect end-to-end AI and Machine Learning solutions, ensuring scalability, reliability, and maintainability. Select appropriate ML algorithms, tools, and platforms for various business use cases. Define data strategies, including data acquisition, preparation, storage, and governance for AI initiatives. Oversee the development and deployment lifecycle of ML models, from experimentation to production. Collaborate closely with data scientists, engineers, and business stakeholders to understand requirements and deliver effective solutions. Provide technical leadership and guidance on best practices for AI/ML development and MLOps. Evaluate and recommend new technologies and frameworks to enhance our AI capabilities. Develop technical documentation, including architecture diagrams, design specifications, and deployment guides. Ensure solutions comply with security standards, data privacy regulations, and ethical AI principles. Stay ahead of industry trends and emerging technologies in AI, ML, and cloud computing.
Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field. 10+ years of experience in software architecture, with at least 5 years focused on AI/ML solutions. Proven experience designing and implementing scalable ML systems on cloud platforms (AWS, Azure, GCP). Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and their applications. Expertise in programming languages such as Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong knowledge of MLOps principles and tools for model deployment, monitoring, and management. Excellent communication, presentation, and interpersonal skills. Ability to translate complex technical concepts into business value propositions. Experience working in a fully remote, agile development environment. Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
This fully remote role offers a highly competitive salary, significant bonus potential, and comprehensive benefits including top-tier health insurance, retirement savings plans, and generous paid time off. Our client provides a stimulating work environment with opportunities to work on challenging and impactful projects that define the future of AI. You'll have access to continuous learning resources, professional development opportunities, and the chance to collaborate with a team of leading experts in the field. Enjoy the ultimate flexibility and work-life balance while contributing to cutting-edge AI innovations from anywhere.