Role Overview
Nexus Intelligence Labs is seeking an inventive Machine Learning & AI Engineer to develop and deploy cutting-edge LLM-powered applications and predictive analytics models.
Key Responsibilities
• Design, train, fine-tune, and evaluate deep learning and generative AI models.
• Deploy high-performance ML pipelines into production environments.
• Build prompt engineering and RAG (Retrieval-Augmented Generation) architectures.
• Monitor model accuracy, drift, and computational latency.
• Deploy high-performance ML pipelines into production environments.
• Build prompt engineering and RAG (Retrieval-Augmented Generation) architectures.
• Monitor model accuracy, drift, and computational latency.
Requirements & Qualifications
• Degree in Computer Science, AI/Data Science, or equivalent practical experience.
• Proficiency in Python, PyTorch / TensorFlow, Hugging Face, and LangChain.
• Experience deploying models using FastAPI, Docker, and Kubernetes.
• Strong foundation in mathematics, linear algebra, and statistical hypothesis testing.
• Proficiency in Python, PyTorch / TensorFlow, Hugging Face, and LangChain.
• Experience deploying models using FastAPI, Docker, and Kubernetes.
• Strong foundation in mathematics, linear algebra, and statistical hypothesis testing.
Benefits & Compensation Perks
• 100% Remote flexibility with home office setup allowance.
• Top-tier hardware (MacBook Pro M-series).
• Generous paid time off and conference sponsorships.
• Top-tier hardware (MacBook Pro M-series).
• Generous paid time off and conference sponsorships.
Required Skills
Python
PyTorch
LLMs
LangChain
RAG
FastAPI
Docker
Vector Databases