Poppulo is looking to solve complex challenges in employee communications and digital signage through the power of cutting-edge machine learning and AI, and is seeking a Sr. Machine Learning (ML) Engineer to drive innovative problem solving and build disruptive products.
Requirements
- 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.
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 operationalisation. Incl. MLOps
- Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI into innovative, practical solutions that transform customer experiences.
- Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
- Optimise Model and system performance: Fine-tune, optimise 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: Staying up-to-date with SOTA and industry trends in AI/ML.
Other
- 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
- Excellent workplace culture
- Competitive salary
- Company performance-related bonus
