ML Engineer (Focus on GPT and LLM Technologies)
Mindtech is your gateway to exciting and impactful tech projects. We specialize in end-to-end software outsourcing, linking Latin American talent with global opportunities. Our fast, cost-effective approach ensures that our clients receive exceptional service and innovative solutions. With a diverse team of over 70 skilled professionals across Latin America and the US, we are committed to delivering software that drives success.
Position Overview:
Our client, a forward-thinking product design and engineering studio, is seeking an experienced ML Engineer with a strong focus on GPT and LLM technologies.
Key Responsibilities:
As an ML Engineer, you will be at the forefront of integrating and optimizing GPT and LLM technologies into a diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.
● Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
● Implement and optimize GPT and LLM technologies for various client applications.
● Work closely with the development team to integrate AI models into existing systems.
● Experiment with new models and techniques to improve performance and capabilities.
● Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
● Stay abreast of the latest developments in AI and machine learning.
Desired Skills & Qualifications:
● Proven experience in machine learning and natural language processing.
● Strong understanding of GPT, LLMs, and related technologies.
● Experience with cloud computing services, preferably AWS.
● Excellent problem-solving skills and ability to work independently.
● Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
● Fluent in English for effective collaboration with our international team.
Technology Stack:
● GPT-4, Transformer models
● RAG (Retrieval-Augmented Generation)
● ReAct and LangChain for language model applications
● Pinecone for vector database solutions
● AWS for cloud computing and machine learning services
● Familiarity with TensorFlow, PyTorch, or similar frameworks
