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Описание: |
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.
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