▷ [1/27/2025 A] Sr. Machine Learning Engineer

1 day ago

Cork, Ireland Poppulo Full time

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.

And we do that at enterprise scale. 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 know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.

The Opportunity

We are looking for a Sr. 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; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.

This 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.

As a Sr. Machine Learning (ML) Engineer, you will be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas. 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.

Key Responsibilities

- 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 operationalization, including MLOps.

- Productionise full-stack AI/ML solutions: Translate emerging technologies like GenAI into innovative, practical solutions that transform customer experiences.

- Align with Product Strategy: Create proof of concepts at high cadence to demonstrate and validate potential solutions as per our product strategy.

- Optimise Model and system performance: Fine-tune, optimize training and inference performances.

- Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.

- Research Savvy: Stay up-to-date with state-of-the-art 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.

- MLOps expertise: 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.).

- Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.

- Team management: Experience in guiding teams to deliver high-impact solutions.

- Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically.

Education & Experience

- Master’s or PhD in AI, Statistics, Computer Science or a related field.

- At least 4 years’ experience in building complex, distributed software and AI systems.

- Strong understanding of the entire end-to-end software development lifecycle.

Why Us?

- Company performance-related bonus.

- Medical insurance.

- Educational assistance.

- In-house soft skills training.

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

- Bring Your Best Self: We show up authentically, are self-aware and always strive to be better.

- See it. Own it. Solve it: We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.

- Together We’re Better: We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

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, and the UK.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

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