Remote Generative AI Engineer

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Teramind

πŸ“Remote - Mexico

Job highlights

Summary

Join our team of innovators who are redefining insider risk management through cutting-edge technology. As a Generative AI Engineer at Teramind, you will play a crucial role in developing and deploying AI solutions that leverage the latest advancements in natural language processing (NLP) and machine learning.

Requirements

  • At least +5 years of working experience and +2 years in AI
  • Proven experience in developing AI agents using tools such as Langchain or similar frameworks
  • Strong knowledge and hands-on experience in fine-tuning LLMs using tools like Hugging Face, OpenAI, or similar platforms
  • Deep understanding of vector databases (e.g., Pinecone, Weaviate, Milvus) and their applications in building efficient RAG systems
  • Experience in developing and deploying complex RAG systems to enhance LLM capabilities
  • Proficiency in programming languages such as Python and frameworks such as TensorFlow or PyTorch
  • Solid understanding of machine learning concepts, NLP, and deep learning techniques
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying and managing AI solutions
  • Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams

Responsibilities

  • Design, develop, and implement AI agents using tools such as Langchain or similar frameworks
  • Fine-tune Large Language Models (LLMs) using various market tools to improve their accuracy, performance, and contextual relevance
  • Integrate and manage vector databases (e.g., Pinecone, Weaviate, Milvus) to support efficient RAG systems and scalable AI solutions
  • Collaborate with cross-functional teams to integrate GenAI capabilities into existing and new products
  • Develop and optimize workflows for managing large-scale AI model training, deployment, and monitoring
  • Stay updated with the latest trends and advancements in AI and machine learning to continuously improve our AI solutions
  • Provide technical leadership and mentorship to other team members in the areas of AI and machine learning

Preferred Qualifications

  • Extensive knowledge of advanced machine learning algorithms, including but not limited to: Supervised learning: Linear and logistic regression, decision trees, random forests, gradient boosting methods
  • Experience with reinforcement learning techniques and their applications in agent development
  • Proficiency in feature engineering and selection methods
  • Strong understanding of model evaluation metrics and validation techniques
  • Experience with time series analysis and forecasting methods
  • Experience in data management and processing, particularly with large-scale datasets

Benefits

  • This is a remote job. Work from anywhere!
  • Competitive salary with a focus on a global market
  • Career-growth opportunities
  • Flexible Time Off and Paid Time Off benefits
  • Ongoing training and development opportunities

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