AI / ML Engineer

About the Role

We're hiring an AI / ML Engineer to design and deploy machine learning models and AI-powered features across INNERLUXES client projects. From NLP-driven document recognition to computer vision quality inspection systems, you'll build production-ready ML pipelines that solve real business problems. This is a high-visibility role with direct impact on cutting-edge products.

Responsibilities

• Design, train, and deploy machine learning models for NLP, computer vision, recommendation, and predictive analytics
• Build end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, model training, and serving
• Integrate LLM APIs (OpenAI, Anthropic, open-source models) into client applications with RAG and fine-tuning strategies
• Develop and maintain model monitoring, A/B testing, and performance evaluation frameworks
• Collaborate with backend engineers to deploy models as scalable API services
• Conduct exploratory data analysis and communicate findings to stakeholders
• Research and evaluate emerging AI technologies, frameworks, and research papers
• Write clear documentation for model architecture, training procedures, and deployment guides

Requirements

• 5+ years of experience in machine learning engineering or applied AI roles
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Hands-on experience deploying ML models to production (SageMaker, Vertex AI, or custom serving)
• Solid understanding of NLP techniques, transformer architectures, and large language models
• Experience with data processing tools (Pandas, Spark, Airflow) and cloud ML services
• Familiarity with MLOps practices: experiment tracking (MLflow, W&B), model versioning, and CI/CD for ML
• Strong mathematical foundation in statistics, linear algebra, and probability
• Excellent communication skills for translating complex AI concepts into business value

Nice to Have

• Experience with computer vision (OpenCV, YOLO, image classification)
• Familiarity with vector databases (Pinecone, Weaviate, Qdrant) for RAG applications
• Published research or conference presentations in ML/AI
• Experience with edge deployment or model optimization (ONNX, TensorRT)
• Master's or PhD in Computer Science, Machine Learning, or related field

What We Offer

• Competitive salary with equity options
• 100% remote work — work from anywhere in the world
• Access to GPU compute resources and AI research tools
• $3,000/year learning & conference budget
• Unlimited PTO and flexible working hours
• Work on cutting-edge AI projects with real-world impact