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$3,000 - $5,000 Per Month
Full Time
Remote
Latin America
10 months ago
Technologies: * Python * ML * AWS/GCP/Azure * Docker/Kubernetes * LLMs * GenAI * Docker/Kubernetes * OOP * TensorFlow/PyTorch/Keras/scikit-learn Requirements - 4+ years of ML experience at a start-up or larger enterprise — high priority - 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority - Client delivery experience — high priority - Effective written and oral communications skills (C1/C2 — advanced/proficient level English is required) — high priority - Bachelor’s degree in computer science, software engineering or related field - Experience with cloud environments (e.g., AWS, Azure, GCP) - Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn) - Experience developing, deploying, and managing/monitoring models - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture - Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies - Advanced experience in NLP techniques and applications - Proficiency in Python programming - Familiarity with prompt engineering approaches and best practices - Knowledge of data structures, data modeling, and software architecture - Analytical and problem-solving skills, with the ability to propose innovative solutions and troubleshoot issues - Ability to work independently and as part of a collaborative team in a fast-paced environment Experience in any of the following is preferred, not required: - Agent development - Data privacy - Fine tuning LLMs - LLM architecture and techniques for performance - MLOps - ML evaluation - Model decay and data drift detection and handling - Pulumi, Terraform and/or Cloud SDKs - PySpark - Quantization - Retrieval-augmented generation (RAG) optimization - Security - Vector databases
$3,000 - $5,000 Per Month