AI / Machine Learning Engineer

Job Title: AI / Machine Learning EngineerLocation: Dublin (Hybrid: 3 days on-site, 2 days remote)Department: EngineeringReports to: Software Engineering ManagerStandard Work Hours: Monday to Friday, 9:00 AM to 6:00 PMCompany Overview: Bounce is a consumer research platform that enables consumer-facing brands to gather authentic consumer data from anyone in the world, in real-time. We make consumer research easy, delivering the speed, ease and agility of a technology platform, with the support, robustness and flexibility of a research agency. Bounce is trusted by the world's largest brands including Coca Cola, Diageo, Pernod Ricard & Tesco. We are on a mission to revolutionise how brands reach and understand their customers. We are growing rapidly, and have positions for people who thrive in a high-growth environment. Our team members are the prime drivers of our success and we can directly attribute their effort to the growth of our company. We believe that early team members should have ownership in the company they make, and therefore we offer stock options as part of all compensation packages, in addition to base salary & performance-related incentives. Bounce Insights is an equal opportunities employer.Purpose of Position: We are seeking a highly motivated and talented AI Machine Learning Engineer to join our Dublin team. This role offers an exciting opportunity to lead the development of generative AI applications and machine learning pipelines, playing a crucial role in shaping the future of our AI-driven consumer research platform. You will work alongside a small, experienced team of developers and data scientists, leveraging the latest in AI and ML technologies to drive innovation in market research.Key Responsibilities:Design, develop, and implement machine learning models and generative AI applicationsBuild and maintain scalable ML pipelines for data processing, model training, and deploymentCollaborate with cross-functional teams to integrate ML solutions into our product ecosystemConduct experiments to improve model performance and develop new AI-driven featuresImplement and maintain robust testing and validation frameworks for ML modelsStay current with the latest advancements in AI/ML and propose innovative solutionsParticipate in code reviews and contribute to best practices in ML engineeringMentor junior team members and contribute to the growth of the ML teamEnsure compliance with ethical AI practices and data privacy regulationsPerson Specifications:Excellent problem-solving abilities with a focus on ML/AI challengesStrong desire to learn and stay updated with the latest in AI/ML technologiesAbility to communicate complex ML concepts to both technical and non-technical stakeholdersSelf-driven and proactive, with a passion for innovation in AICollaborative mindset with strong teamwork skillsCompetencies:Expert knowledge in machine learning algorithms and frameworks, with a strong focus on LLMs and natural language processingExtensive experience working with OpenAI's GPT models, Anthropic's Claude, or similar large language modelsProficiency in implementing and optimising RAG systemsStrong software engineering skills with a focus on ML systems and API integrations for AI servicesExcellent coding skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)Experience with cloud-based ML services (e.g., AWS SageMaker, Google AI Platform, Azure Machine Learning)Understanding of MLOps practices, particularly for deploying and maintaining LLM-based systemsQualifications & Experience:Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fieldAt least 5 years of industry experience in machine learning or AI engineeringProven track record of developing and deploying ML models in production environmentsExperience with natural language processing (NLP) and generative AI modelsFamiliarity with big data technologies (e.g., Spark, Hadoop)Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)Knowledge of RESTful APIs and microservices architectureKey Performance Indicators:Successful development and deployment of ML models and generative AI applicationsImprovement in model performance metrics and system efficiencyContributions to the company's AI/ML strategy and innovation pipelineQuality and maintainability of ML code and systemsEffective collaboration with cross-functional teamsWhy Join Us?Cutting-edge AI Work: Be at the forefront of applying AI/ML to revolutionise market researchInnovation Leadership: Drive the development of next-generation AI-powered research toolsCareer Growth: Opportunities for professional development and leadership in AI/MLFlexible Working: Enjoy the balance of remote and on-site work with our hybrid modelImpactful Projects: Work on AI solutions that directly influence major brands' strategiesCompetitive Compensation: We offer a competitive salary package commensurate with experience, including stock optionsIf you are passionate about machine learning, AI innovation, and eager to work in a fast-paced environment at the intersection of technology and market research, we would love to hear from you. Apply now to join the Bounce Insights team and make a significant impact on the future of AI-driven consumer insights.

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