The role of a AI Engineer at INFUSE
OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
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, focusing on voice recognition, natural language processing, LLMs, and multi-label text classification.
- Build and maintain APIs/pipelines (Python/Flask/Quart, async).
- 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 Python, including strong AI/ML and Backend development experience.
- Knowledge of Python (asyncio), FastAPI, pandas/NumPy, scikit-learn, and PyTorch or TensorFlow.
- Data processing: ETL, data cleaning, feature engineering, and evaluation set preparation(formats: CSV, JSON, Parquet).
- Knowledge of SQL, NoSQL (MongoDB/DocumentDB), 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 processes.
- English level B2 or higher.
Would be a plus:
- Experience with no-code or low-code automation workflows (e.g., n8n).
- MLOps: experiments, versioning, CI/CD, monitoring (quality, drift, latency, cost).
Optimize performance & spend.
- 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).
- 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.
To learn more about Infuse visit their website
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