Generative AI Engineer

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