Job Description
About the Role:
We are seeking a visionary Senior AI & Machine Learning Architect to lead our engineering efforts and define the technological roadmap for the year 2026. In this pivotal role, you will design scalable, next-generation AI systems that push the boundaries of what is possible today. You will work at the intersection of cutting-edge research and production-grade engineering, ensuring our platforms remain competitive in the rapidly evolving tech landscape.
Why Join Us?
As a forward-thinking organization, we are building the infrastructure for the future. You will have the autonomy to make high-impact decisions, mentor world-class engineers, and work with state-of-the-art tools.
Key Responsibilities:
Architect and deploy advanced machine learning models, focusing on Generative AI and LLM integration for the 2026 ecosystem.
Lead the design of scalable MLOps pipelines to ensure reliability and speed of deployment.
Collaborate with cross-functional teams to translate complex business requirements into technical solutions.
Define and enforce best practices for code quality, model governance, and ethical AI usage.
Drive innovation in algorithm efficiency, reducing latency and improving inference speeds.
Mentor junior and mid-level engineers, fostering a culture of continuous learning and technical excellence.
Qualifications:
Master’s or PhD in Computer Science, Mathematics, or a related technical field.
Minimum of 5+ years of experience in machine learning, deep learning, or artificial intelligence.
Extensive experience with Python, PyTorch, TensorFlow, and Hugging Face.
Strong understanding of Large Language Models (LLMs), fine-tuning, and RAG architectures.
Proven track record of deploying ML models to production environments (AWS, GCP, or Azure).
Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
- Architect and deploy advanced machine learning models, focusing on Generative AI and LLM integration for the 2026 ecosystem.
- Lead the design of scalable MLOps pipelines to ensure reliability and speed of deployment.
- Collaborate with cross-functional teams to translate complex business requirements into technical solutions.
- Define and enforce best practices for code quality, model governance, and ethical AI usage.
- Drive innovation in algorithm efficiency, reducing latency and improving inference speeds.
- Mentor junior and mid-level engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum of 5+ years of experience in machine learning, deep learning, or artificial intelligence.
- Extensive experience with Python, PyTorch, TensorFlow, and Hugging Face.
- Strong understanding of Large Language Models (LLMs), fine-tuning, and RAG architectures.
- Proven track record of deploying ML models to production environments (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.