Job Description
We are seeking a visionary AI/ML Engineer to lead our R&D initiatives targeting the 2026 technology roadmap. If you are passionate about pushing the boundaries of Generative AI, Autonomous Agents, and Ethical Machine Learning, this is your opportunity to shape the future of intelligent systems.
The Role: As part of our 'Future-Tech' division, you will bridge the gap between theoretical AI research and production-grade engineering. We are building the foundational models that will power enterprise solutions a decade from now.
Responsibilities
- Architect Future-Ready Systems: Design and deploy scalable machine learning infrastructures capable of handling next-generation data workloads and high-frequency inference.
- Pioneering Research: Spearhead R&D into Large Language Models (LLMs) and multimodal agents to define our 2026 product roadmap.
- Model Optimization: Fine-tune and optimize existing models for speed, accuracy, and energy efficiency in edge environments.
- Ethical AI Implementation: Establish and enforce rigorous guidelines for AI bias, safety, and transparency within our model training pipelines.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and security experts to integrate AI solutions seamlessly into existing software ecosystems.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering and machine learning model deployment.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS/GCP/Azure).
- Specialized Knowledge: Deep understanding of Transformer architectures, Reinforcement Learning, or Neural Architecture Search.
- Problem Solving: Demonstrated ability to debug complex distributed systems and optimize algorithms for production environments.