Modeling Engineer at Kandou implementing software for system - level modeling of communication links. Collaborating with architects and verification teams to define and support designs.
About the role
- Machine Learning Engineer at Influur redefining advertising through AI and data-driven approaches. Building, optimizing, and deploying ML systems in a fast-paced environment.
Responsibilities
- Influur is redefining how advertising works — through creators, data, and AI.
- Currently developing a next-gen platform that connects artists, brands, and creators through AI-powered matchmaking, campaign automation, and generative tools.
- Eager to push the boundaries of AI in advertising, this role is for you.
Requirements
- Strong experience designing, building, and maintaining end-to-end machine learning systems in production.
- Deep understanding of ML algorithms, embeddings, retrieval systems, and evaluation methodologies.
- Strong experience with large language models (LLMs), fine-tuning, inference optimization, and agent frameworks.
- Expertise in ML infrastructure, including feature stores, vector databases, model serving, and real-time inference pipelines.
- Strong Python skills and experience with PyTorch, TensorFlow, FastAPI, NumPy, scikit-learn, and data processing frameworks.
- Experience with scalable data pipelines (batch + streaming), including tools like Spark, Kafka, or similar.
- Experience implementing ML solutions such as recommendation engines, ranking models, and personalization systems.
- Solid understanding of statistical analysis (A/B testing, experimentation, causal inference).
- Ability to work closely with engineering teams to productionize ML models with reliability, monitoring, and CI/CD best practices.
Benefits
- Competitive equity in a venture-backed company shaping the future of music influencer marketing.
- A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny) — with our tech, support, and strategic guidance.
- Access to elite tools, AI copilots, and a team that builds daily at top speed.
- Hybrid flexibility + top-tier health benefits.
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