INFUSE is on a mission to power innovation and excellence in the global demand generation landscape. As part of our continued growth and commitment to cutting-edge solutions, we’re expanding our Intelligent Automation Department and looking for an AI Engineer with a strong track record in AI/ML. What You’ll Be Working On: * Design, train, and deploy ML/AI models with a focus on voice recognition, natural language processing, LLMs, and multi-label text classification. * Build and maintain APIs/pipelines (Python/Flask/Quart, async) and n8n workflows (nodes, triggers, error handling, retries, observability). * MLOps: experiments, versioning, CI/CD, monitoring (quality, drift, latency, cost), rollback. Optimize performance & spend. * Work with multi-modal data and text pipelines for automation and intelligent decision-making. * Collaborate with cross-functional teams to integrate AI into internal products and tools. * Build robust, scalable systems that can be adapted for various use cases across departments.
Requirements: * 3+ years of hands-on commercial experience in AI/ML development. * Strong knowledge of Python (asyncio), FastAPI, pandas/NumPy, scikit-learn, and basic experience with PyTorch or TensorFlow. * Experience with n8n workflows, including webhooks, retries, and error handling, including parallelization, queueing, rate limiting, and security best practices. * Data processing: ETL, data cleaning, feature engineering, and evaluation set preparation(formats: CSV, JSON, Parquet). * Proficiency in SQL (PostgreSQL), Redis, and message queues (RabbitMQ, Redis Streams). * Solid understanding of Docker, Docker Compose, Linux basics, and TLS/secrets management. * Familiarity with MLOps principles — experiments, versioning, CI/CD pipelines (e.g., MLflow, MinIO, or similar), and monitoring using Prometheus and Grafana. * Strong command of Git and object-oriented programming (OOP). * Experience in documenting the development process and creating related technical documentation. * English level B2 or higher.
Would be a plus: * Experience with retrieval-augmented generation (RAG), vector databases and search (e.g., pgvector, Qdrant), embeddings, guardrail techniques, and familiarity with hardware accelerators (e.g., Groq). * Background in server and infrastructure management: deploying on closed environments, SSL configuration, backups, and role-based access control. * Familiarity with RPA (Robotic Process Automation) technologies.
Our hiring process: * Interview with the Recruiter. * Technical task. * Technical interview with an AI/ML Engineer. * Offer.
We Offer: * Competitive compensation in USD, paid with no delays via bank transfer, PayPal, or Payoneer. * Paid vacation and sick leave. * Annual performance reviews with real opportunities for growth. * Short Fridays in summer. * A collaborative young team of thinkers and builders.
Ready to engineer the future with us? Apply now and bring your AI talent to where it will matter most.
