Job Description
Join the Vanguard of Artificial Intelligence
OmniStream Technologies is looking for a visionary Lead AI Architect to define the infrastructure of tomorrow. As we prepare for the 2026 landscape, we are seeking a pioneer who doesn't just use AI, but architects the systems that will power the next generation of human-machine interaction. You will be at the helm of our most ambitious R&D initiative, building scalable, secure, and ethically aligned AI ecosystems.
Why Join Us?
• Work with state-of-the-art Large Language Models (LLMs) and Neural Architectures.
• Competitive equity package and top-tier benefits.
• Autonomy to make high-impact technical decisions.
• Collaborate with a world-class team of neuroscientists and engineers.
Key Responsibilities
- Architect and deploy next-generation Generative AI models tailored for enterprise scalability.
- Lead the research and implementation of advanced fine-tuning and RAG (Retrieval-Augmented Generation) pipelines.
- Ensure the ethical deployment of AI, focusing on bias mitigation and data privacy compliance.
- Mentor and cultivate a high-performing team of machine learning engineers and data scientists.
- Optimize model inference latency and reduce computational costs for real-time applications.
- Collaborate with product teams to translate complex technical concepts into user-centric features.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning engineering with a focus on Deep Learning.
- Deep expertise in PyTorch, TensorFlow, or JAX, with experience in Hugging Face ecosystems.
- Strong proficiency in C++ and Python for high-performance computing.
- Experience designing distributed systems for handling massive datasets.
- Track record of successfully shipping production-grade AI products.
Skills
Python, PyTorch, TensorFlow, Large Language Models (LLM), Machine Learning Engineering, MLOps, Distributed Systems, Natural Language Processing (NLP), Cloud Architecture (AWS/Azure/GCP).
Responsibilities
- Architect and deploy next-generation Generative AI models tailored for enterprise scalability.
- Lead the research and implementation of advanced fine-tuning and RAG (Retrieval-Augmented Generation) pipelines.
- Ensure the ethical deployment of AI, focusing on bias mitigation and data privacy compliance.
- Mentor and cultivate a high-performing team of machine learning engineers and data scientists.
- Optimize model inference latency and reduce computational costs for real-time applications.
- Collaborate with product teams to translate complex technical concepts into user-centric features.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning engineering with a focus on Deep Learning.
- Deep expertise in PyTorch, TensorFlow, or JAX, with experience in Hugging Face ecosystems.
- Strong proficiency in C++ and Python for high-performance computing.
- Experience designing distributed systems for handling massive datasets.
- Track record of successfully shipping production-grade AI products.