Job Description
Shape the Future of Intelligence
Nexus Horizon Solutions is pioneering the next generation of autonomous systems. We are seeking a visionary Senior AI/ML Engineer to lead our research in Generative AI and Agentic Workflows. In this role, you will architect the neural architectures that power the digital economy of 2026 and beyond. You will work at the intersection of deep learning, cognitive computing, and ethical AI to solve complex, high-stakes problems.
If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), and scalable inference pipelines, we want to meet you.
Responsibilities
- Design, train, and deploy cutting-edge Machine Learning models, focusing on Generative AI and LLM fine-tuning.
- Lead the research and development of autonomous agent frameworks capable of complex, multi-step reasoning.
- Optimize model inference latency and cost-efficiency using edge computing and quantization techniques.
- Collaborate with cross-functional product teams to translate advanced AI capabilities into user-centric features.
- Establish best practices for data governance, model security, and ethical AI compliance.
- Conduct rigorous experimentation and A/B testing to validate model performance in real-world scenarios.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Minimum of 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Extensive proficiency in Python, PyTorch, TensorFlow, and modern data science stacks (Pandas, NumPy, Scikit-learn).
- Proven track record of working with LLMs (e.g., GPT, Llama, Claude) and fine-tuning methodologies.
- Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure).
- Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.