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