Remote Senior Machine Learning Engineer (NLP/LLM)

Description:

• Tech9 is seeking a Senior Machine Learning Engineer specializing in NLP/LLM to empower organizations with AI-centered solutions.
• The role involves working with a fast-paced startup that builds ML-powered threat detection systems for Fortune 1000 companies and government agencies.
• The engineer will architect and implement the machine learning backbone for detection capabilities, working with production-grade language models.
• Responsibilities include building content embedding systems and behavioral propensity models to predict threat patterns.
• The technical stack includes OpenAI's LLMs, LangChain pipelines, Ray for distributed model inference, and MLflow for model lifecycle management.
• The position requires expertise in model compression, quantization, and embedded deployment strategies.
• The engineer will develop supervised classifiers and unsupervised clustering algorithms to detect threats and predict user behavior.
• The role has a significant impact on real-world security decisions, protecting institutions from information warfare.

Requirements:

• Candidates must have 5+ years of professional experience as a Machine Learning Engineer, Data Engineer, or Data Scientist.
• A minimum of 3 years of hands-on experience with NLP/LLM development and deployment is required.
• Strong understanding of machine learning fundamentals across supervised and unsupervised learning is essential.
• Candidates should have 3+ years of experience with embedded models and deployment optimization.
• Practical knowledge of propensity modeling and statistical analysis is necessary.
• Excellent proficiency in Python and ML frameworks is required.
• Candidates must have C1+ English proficiency.
• The position is open to candidates based in LATAM, specifically Mexico, Costa Rica, or Colombia.

Benefits:

• Tech9 offers a smooth, efficient, and transparent candidate experience throughout the interview process.
• The company aims to complete the interview process within 2-3 weeks, ensuring clarity and communication at every step.
• The desired start date for the position is August 8th, with a goal to finalize decisions and extend offers shortly after the final interviews.
• Candidates will have the opportunity to work in a fast-paced, innovative environment focused on building the future of software development.