Job Description
Join the Frontier of Intelligence
We are seeking a visionary Senior AI Architect to lead our research and development efforts for the 2026 technology roadmap. At Apex Future Tech, we are building the cognitive infrastructure of tomorrow. You will be at the helm of deploying next-generation generative models, optimizing neural architectures, and ensuring our AI systems are scalable, ethical, and transformative.
Why Apply?
- Impactful Work: Directly influence the future of AI interaction.
- State-of-the-Art Tools: Access to the latest GPUs and cloud infrastructure.
- Growth: Clear path to technical leadership and equity ownership.
Key Objectives:
- Architect scalable MLOps pipelines for real-time inference.
- Lead research into emerging LLM architectures (2026 focus).
- Drive ethical AI initiatives and bias mitigation strategies.
Responsibilities
- Design and implement robust machine learning models capable of handling 2026-scale data volumes.
- Lead a cross-functional team of data scientists and engineers to deliver production-ready AI solutions.
- Optimize model latency and resource utilization to ensure seamless user experiences.
- Conduct rigorous testing and validation of AI systems to maintain high accuracy and safety standards.
- Stay ahead of industry trends, specifically in Generative AI and Autonomous Agents.
- Document technical architectures and contribute to the company’s knowledge base.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Minimum of 6 years of professional experience in Machine Learning Engineering.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying large-scale ML models to production environments (AWS, GCP, or Azure).
- Experience with MLOps tools such as Kubernetes, MLflow, and Airflow.
- Strong understanding of distributed systems and high-availability architecture.