ML, LLM Engineer

🕒 May 12

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• Develop and deploy ML models and LLM-based solutions for product outcome prediction • Build workflows where users input product details and receive predictive insights • Enhance an existing AI agent into a decision-making/prediction system • Work with product and assortment data for feature engineering and modeling • Integrate LLM capabilities to improve reasoning and contextual understanding • Continuously evaluate and improve model performance

🎯 Requirements

• 3+ years of experience in Machine Learning / AI Engineering • Strong knowledge of predictive modeling and classification techniques • Hands-on experience with LLMs (OpenAI, Llama, etc.) • Proficiency in Python and ML libraries (Scikit-learn, PyTorch, TensorFlow) • Experience working with structured data, model evaluation, and pipelines • Good to Have • Experience with GenAI, RAG pipelines, or prompt engineering • Exposure to MLOps and model deployment • Familiarity with cloud platforms (Azure / AWS)