Mactores
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
Big Data • Machine Learning • Consulting • Research • Internet of Things
Generative AI Engineer
October 25, 2024
Mactores
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
Big Data • Machine Learning • Consulting • Research • Internet of Things
📋 Description
• Develop and deploy cutting-edge generative AI models to solve real-world problems. • Build models that generate content and understand complex data. • Collaborate closely with cross-functional teams to implement AI-powered solutions.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field (PhD preferred). • 3+ years of experience working with deep learning frameworks (e.g., TensorFlow, PyTorch). • Strong background in machine learning algorithms, specifically generative models like GANs, VAEs, transformers, etc. • Proficiency in Python and experience with other programming languages like Java or C++ is a plus. • Experience with cloud platforms (AWS, GCP, or Azure) and deploying AI models in production. • Knowledge about LLMs like Claude, Mistral, etc., and their variations, especially text-based likes GPT, BERT, T5, etc. • Strong understanding of hyperparameter tuning methods and experience applying transfer learning to optimize model performance and efficiency. • Solid understanding of deep learning techniques, neural networks, and generative adversarial models. • Strong analytical, problem-solving, and debugging skills.
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