Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? And so is managing office space in a hybrid world. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; T his role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions. Machine Learning (ML) Engineer , you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. Solve complex challenges with AI/ML : Design, develop new AI-powered products that deliver the product roadmap. Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Productionise full-stack AI/ML solutions : Optimise Model and system performance: Fine-tune, optimise training and inference performances. Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. Research Savvy : Staying up-to-date with SOTA and industry trends in AI/ML. Strong AI/ML background : Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) Strong foundation in GenAI : Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. Technical Expertise : Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages. Hands-on experience in setting up MLOps on AWS, Azure and GCP. Full-stack expertise : Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). Master’s or PhD in AI, Statistics, Computer Science or a related field At least 4 years’ experience in a building complex, distributed software and AI systems Strong understanding of entire end-to-end software development lifecycle An excellent workplace culture Competitive salary Company performance-related bonus Medical insurance Flexible working hours In-house soft skills training We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. Together We’re Better We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
