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AI & Data Engineer (m/f/x)
Build and maintain data pipelines, ML models, and MLOps workflows to scale AI solutions from experimentation to production using Python, cloud platforms, and modern frameworks.
Deep Learning Engineer
Design and deploy deep learning models (LLMs, CNNs, GANs) for image, text, or signal data, optimizing architectures and addressing bias and overfitting in production.
Machine Learning Engineer - Data-Driven ML & NLP/CV
Build and deploy ML models (NLP/CV) for maritime applications, create scalable pipelines, and analyze performance using TensorFlow/PyTorch.
AI/ML Engineer Speech, RAG & Fine-Tuning
Build and deploy speech-to-speech pipelines, fine-tune LLMs (LLaMA 2/3), and implement RAG systems using open-source tools like Whisper, Coqui, and Hugging Face.
AI Engineer
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
AI Deep Learning
Build and train deep-learning models with TensorFlow or PyTorch to power AI features, working on large datasets and collaborating with teammates.
AI/ML Engineer
Design, build, and deploy scalable ML systems and intelligent features using Python, TensorFlow/PyTorch, and cloud platforms.
Senior Data & AI Architect — Scale, Govern & Innovate AI
Design and deliver high-performance data and AI ecosystems using tools like Snowflake and TensorFlow to enable analytics and automation.
AI Deep Learning
Develop and deploy deep learning models using TensorFlow/PyTorch, focusing on neural networks, NLP, or computer vision for AI-driven products.
AI Deep Learning
Assist in building and testing deep learning models using Python and frameworks like TensorFlow or PyTorch, while cleaning data and collaborating with senior researchers.
AI/ML Engineer
Build and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms.
Senior AI Engineer
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
AI/ML Engineer
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Machine Learning Engineer - (Remote)
Build and deploy LLM-based applications using frameworks like PyTorch and Hugging Face, focusing on NLP and large language models such as LLaMA.
Junior AI Deep Learning Researcher (Remote Friendly)
Build and test deep-learning models in Python/TensorFlow or PyTorch, clean datasets, and assist senior researchers on AI projects in a small startup team.
Machine Learning Engineer
Build, train, and deploy ML models in Python using scikit-learn/TensorFlow to solve business problems and improve products.
Machine Learning Engineer
Build and optimize ML models to solve business problems using Python and frameworks like TensorFlow or PyTorch.
Machine Learning Engineer
Designs and implements ML models in Python using TensorFlow/PyTorch to solve business problems, analyzes datasets, and integrates solutions into production systems.
Machine Learning Engineer
Build and deploy ML models in Python using TensorFlow/PyTorch, integrate them into client platforms, and maintain scalable data pipelines.
Machine Learning Engineer
Builds and deploys ML models and pipelines to solve maritime and climate-related business problems using Python and deep-learning frameworks.